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+ "hemoglobin_fraction_of_canonical_bulk_counts_paired": {
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+ "median": 0.12602329223836908,
139
+ "min": 0.03953196011681557,
140
+ "max": 0.25913359692739013
141
+ },
142
+ "hemoglobin_fraction_of_canonical_sc_counts_paired": {
143
+ "median": 1.4618499197358798e-05
144
+ }
145
+ },
146
+ "identity": {
147
+ "sex_rule": "CPM on the source axis (bulk: Salmon table; sc: retained cells, all RNA features); score=log2(XIST+1)-log2(RPS4Y1+DDX3Y+UTY+KDM5D+1); female>2, male<-2, else ambiguous; opposite-sex signal flag: female call with Y CPM>20 or male call with XIST CPM>50 (bulk)",
148
+ "genes": "19126 canonical genes measured in all 128 bulks and all 46 sc libraries, chrY excluded; 8167 'expressed' (bulk mean log2CPM>3 and sc mean>1)",
149
+ "expression_rule_as_ye": "Spearman over the top 2000 genes by mean log2(CPM+1), each paired bulk vs all 46 sc pseudobulks; centred and reverse variants",
150
+ "expression_residualised_rule": "within each modality centre log2(CPM+1), remove the top k sample PCs (computed on expressed genes), keep the 2000 genes with the highest residual variance in both modalities (rank sum), Pearson all 128 bulks x all 46 sc libraries. Primary k=5 (~10% of the 46 sc libraries; Ye used 10 for 133/207); sensitivity k=[0, 3, 5, 8, 10]. Uses no pairing information.",
151
+ "verdict_rule": "pass = sex concordant (bulk, sc, GEO) and at k=5 the own PATIENT ranked 1st in one direction and <=5th in the other (candidates collapsed to patients by their best r: 28 sc patients, 61 bulk patients); fail = sex discordant or own patient >5th in both directions; else borderline",
152
+ "discrimination_by_k": {
153
+ "0": {
154
+ "n_genes_selected": 2000,
155
+ "pairs_own_library_top1_bulk_to_sc": 20,
156
+ "pairs_own_library_top1_sc_to_bulk": 11,
157
+ "pairs_own_patient_top1_bulk_to_sc": 24,
158
+ "pairs_own_patient_top1_sc_to_bulk": 16,
159
+ "all_bulks_top_sc_same_patient": "26/55",
160
+ "all_bulks_chance_rate": 0.0387,
161
+ "all_sc_top_bulk_same_patient": "16/42",
162
+ "all_sc_chance_rate": 0.0182,
163
+ "auc_same_patient_vs_other_patient_all_bulk_sc_combinations": 0.8178315885939869,
164
+ "median_r_paired": 0.26420639720561123,
165
+ "median_r_same_patient_other_timepoint": 0.12441825073369689,
166
+ "median_r_other_patient": -0.0027965909541629906,
167
+ "p99_r_other_patient": 0.3316049653388173,
168
+ "timepoint_own_best_within_patient_bulk_to_sc": "25/34",
169
+ "timepoint_own_best_within_patient_sc_to_bulk": "29/39"
170
+ },
171
+ "3": {
172
+ "n_genes_selected": 2000,
173
+ "pairs_own_library_top1_bulk_to_sc": 28,
174
+ "pairs_own_library_top1_sc_to_bulk": 22,
175
+ "pairs_own_patient_top1_bulk_to_sc": 36,
176
+ "pairs_own_patient_top1_sc_to_bulk": 30,
177
+ "all_bulks_top_sc_same_patient": "41/55",
178
+ "all_bulks_chance_rate": 0.0387,
179
+ "all_sc_top_bulk_same_patient": "30/42",
180
+ "all_sc_chance_rate": 0.0182,
181
+ "auc_same_patient_vs_other_patient_all_bulk_sc_combinations": 0.882527933453174,
182
+ "median_r_paired": 0.21384325155764486,
183
+ "median_r_same_patient_other_timepoint": 0.12609740081962167,
184
+ "median_r_other_patient": -0.0018853255422834618,
185
+ "p99_r_other_patient": 0.1798317994848483,
186
+ "timepoint_own_best_within_patient_bulk_to_sc": "26/34",
187
+ "timepoint_own_best_within_patient_sc_to_bulk": "28/39"
188
+ },
189
+ "5": {
190
+ "n_genes_selected": 2000,
191
+ "pairs_own_library_top1_bulk_to_sc": 26,
192
+ "pairs_own_library_top1_sc_to_bulk": 16,
193
+ "pairs_own_patient_top1_bulk_to_sc": 34,
194
+ "pairs_own_patient_top1_sc_to_bulk": 24,
195
+ "all_bulks_top_sc_same_patient": "41/55",
196
+ "all_bulks_chance_rate": 0.0387,
197
+ "all_sc_top_bulk_same_patient": "24/42",
198
+ "all_sc_chance_rate": 0.0182,
199
+ "auc_same_patient_vs_other_patient_all_bulk_sc_combinations": 0.9012759507948257,
200
+ "median_r_paired": 0.172525567467166,
201
+ "median_r_same_patient_other_timepoint": 0.10176401191443879,
202
+ "median_r_other_patient": -0.002668921487922646,
203
+ "p99_r_other_patient": 0.14572437507183672,
204
+ "timepoint_own_best_within_patient_bulk_to_sc": "24/34",
205
+ "timepoint_own_best_within_patient_sc_to_bulk": "26/39"
206
+ },
207
+ "8": {
208
+ "n_genes_selected": 2000,
209
+ "pairs_own_library_top1_bulk_to_sc": 28,
210
+ "pairs_own_library_top1_sc_to_bulk": 22,
211
+ "pairs_own_patient_top1_bulk_to_sc": 35,
212
+ "pairs_own_patient_top1_sc_to_bulk": 27,
213
+ "all_bulks_top_sc_same_patient": "38/55",
214
+ "all_bulks_chance_rate": 0.0387,
215
+ "all_sc_top_bulk_same_patient": "27/42",
216
+ "all_sc_chance_rate": 0.0182,
217
+ "auc_same_patient_vs_other_patient_all_bulk_sc_combinations": 0.9333350956963096,
218
+ "median_r_paired": 0.1473420491268157,
219
+ "median_r_same_patient_other_timepoint": 0.09352613438723947,
220
+ "median_r_other_patient": -0.0027321462024837264,
221
+ "p99_r_other_patient": 0.111222314620384,
222
+ "timepoint_own_best_within_patient_bulk_to_sc": "24/34",
223
+ "timepoint_own_best_within_patient_sc_to_bulk": "28/39"
224
+ },
225
+ "10": {
226
+ "n_genes_selected": 2000,
227
+ "pairs_own_library_top1_bulk_to_sc": 30,
228
+ "pairs_own_library_top1_sc_to_bulk": 19,
229
+ "pairs_own_patient_top1_bulk_to_sc": 34,
230
+ "pairs_own_patient_top1_sc_to_bulk": 26,
231
+ "all_bulks_top_sc_same_patient": "40/55",
232
+ "all_bulks_chance_rate": 0.0387,
233
+ "all_sc_top_bulk_same_patient": "27/42",
234
+ "all_sc_chance_rate": 0.0182,
235
+ "auc_same_patient_vs_other_patient_all_bulk_sc_combinations": 0.9297204892319623,
236
+ "median_r_paired": 0.1305960761110332,
237
+ "median_r_same_patient_other_timepoint": 0.08878331380592318,
238
+ "median_r_other_patient": -0.0018538108455484668,
239
+ "p99_r_other_patient": 0.0998767853077794,
240
+ "timepoint_own_best_within_patient_bulk_to_sc": "26/34",
241
+ "timepoint_own_best_within_patient_sc_to_bulk": "26/39"
242
+ }
243
+ },
244
+ "anomaly_probe_N127_N131": {
245
+ "Rd4a_N131V01": {
246
+ "top_bulk": [
247
+ [
248
+ "N128_control_AC",
249
+ 0.157
250
+ ],
251
+ [
252
+ "N128_control_BC",
253
+ 0.143
254
+ ],
255
+ [
256
+ "N002_chili_FU1",
257
+ 0.142
258
+ ]
259
+ ],
260
+ "r_bulk_N131_chili_BC": 0.11573928198320502
261
+ },
262
+ "Rd4a_N127V00": {
263
+ "top_bulk": [
264
+ [
265
+ "N022_chili_BC",
266
+ 0.089
267
+ ],
268
+ [
269
+ "N131_chili_BC",
270
+ 0.089
271
+ ],
272
+ [
273
+ "N002_chili_FU1",
274
+ 0.075
275
+ ]
276
+ ],
277
+ "r_bulk_N131_chili_BC": 0.08853588467416963
278
+ },
279
+ "Rd5_N131V01": {
280
+ "top_bulk": [
281
+ [
282
+ "N002_chili_FU1",
283
+ 0.171
284
+ ],
285
+ [
286
+ "N111_chili_TOL",
287
+ 0.159
288
+ ],
289
+ [
290
+ "N128_control_AC",
291
+ 0.156
292
+ ]
293
+ ],
294
+ "r_bulk_N131_chili_BC": 0.08534111701607132
295
+ },
296
+ "sc_sc_residual_pearson": {
297
+ "Rd4a_N131V01~Rd4a_N127V00": -0.0008839730186935551,
298
+ "Rd4a_N131V01~Rd5_N131V01": 0.6998035126101093,
299
+ "Rd4a_N127V00~Rd5_N131V01": -0.07732433465209723
300
+ },
301
+ "sc_sc_reference": {
302
+ "different_patients_median": -0.031381265771224576,
303
+ "different_patients_p99": 0.31653969303897717,
304
+ "same_patient_other_patients_median": 0.3609033317581365,
305
+ "same_patient_min": -0.016453533788050125
306
+ }
307
+ },
308
+ "policy": "reported only; no row dropped on identity results; features.npz carries identity_pass / identity_check"
309
+ },
310
+ "checks": {
311
+ "gene_positions_sha256_ok": true,
312
+ "panel_gene_ids_match_selected_genes_csv": true,
313
+ "bulk_finite_nonnegative_inside_mask": true,
314
+ "bulk_fractional_values_inside_mask": 0,
315
+ "pseudo_raw_sum_equals_sum_of_retained_cells_full_axis": true,
316
+ "cells_panel_sums_equal_pseudo_raw_sum_positions_exactly": true,
317
+ "cells_per_row_equal_qc_cell_counts": true,
318
+ "no_sc_mass_outside_sc_valid": true,
319
+ "one_sample_id_per_library": true,
320
+ "sex_concordant_pairs": "40/40",
321
+ "sex_discordant_bulk_all": [
322
+ "N106_control_BC",
323
+ "N87_control_BC",
324
+ "N086_chili_BC",
325
+ "N96_control_AC",
326
+ "N141_control_BC",
327
+ "N141_control_AC",
328
+ "N143_control_BC",
329
+ "N143_control_AC",
330
+ "N146_control_BC",
331
+ "N146_control_AC"
332
+ ],
333
+ "sex_discordant_sc_all": [],
334
+ "expression_best_match_is_own_pair": "4/40",
335
+ "expression_best_match_is_own_pair_centred": "11/40",
336
+ "expression_reverse_best_match_is_own_pair": "0/40",
337
+ "identity_check_pass": "33/40",
338
+ "identity_check_fail": [
339
+ "N087_AC",
340
+ "N158_BC"
341
+ ],
342
+ "identity_check_borderline": [
343
+ "N032_BC",
344
+ "N063_AC",
345
+ "N106_AC",
346
+ "N150_AC",
347
+ "N159_AC"
348
+ ]
349
+ },
350
+ "excluded": {
351
+ "quarantined_sc_libraries_among_pairs": [],
352
+ "sc_libraries_without_bulk": [
353
+ {
354
+ "sc_gsm": "GSM8747412",
355
+ "library_key": "Rd1_N014V01",
356
+ "sample_id": "N014_BC",
357
+ "unpaired_reason": "no bulk for N014 at BC; bulk timepoints of this patient: none (patient absent from GSE287540)"
358
+ },
359
+ {
360
+ "sc_gsm": "GSM8747414",
361
+ "library_key": "Rd1_N016V01",
362
+ "sample_id": "N016_BC",
363
+ "unpaired_reason": "no bulk for N016 at BC; bulk timepoints of this patient: none (patient absent from GSE287540)"
364
+ },
365
+ {
366
+ "sc_gsm": "GSM8747422",
367
+ "library_key": "Rd1_N037V01",
368
+ "sample_id": "N037_BC",
369
+ "unpaired_reason": "no bulk for N037 at BC; bulk timepoints of this patient: none (patient absent from GSE287540)"
370
+ },
371
+ {
372
+ "sc_gsm": "GSM8747460",
373
+ "library_key": "Rd4a_N131V01",
374
+ "sample_id": "N131_TOL",
375
+ "unpaired_reason": "no bulk for N131 at TOL; bulk timepoints of this patient: BC"
376
+ },
377
+ {
378
+ "sc_gsm": "GSM8747462",
379
+ "library_key": "Rd4a_N127V00",
380
+ "sample_id": "N127_BC",
381
+ "unpaired_reason": "no bulk for N127 at BC; bulk timepoints of this patient: none (patient absent from GSE287540)"
382
+ },
383
+ {
384
+ "sc_gsm": "GSM8747488",
385
+ "library_key": "Rd5_N131V01",
386
+ "sample_id": "N131_TOL",
387
+ "unpaired_reason": "no bulk for N131 at TOL; bulk timepoints of this patient: BC"
388
+ }
389
+ ],
390
+ "bulk_samples_without_sc": [
391
+ {
392
+ "gsm": "GSM8747284",
393
+ "Sample_title": "N064_chili_BC",
394
+ "ch_time": "BC",
395
+ "reason": "no sc library at BC; sc timepoints of this patient: FU1,TOL"
396
+ },
397
+ {
398
+ "gsm": "GSM8747287",
399
+ "Sample_title": "N064_chili_FU2",
400
+ "ch_time": "FU2",
401
+ "reason": "no sc library at FU2; sc timepoints of this patient: FU1,TOL"
402
+ },
403
+ {
404
+ "gsm": "GSM8747288",
405
+ "Sample_title": "N072_chili_BC",
406
+ "ch_time": "BC",
407
+ "reason": "no sc library at BC; sc timepoints of this patient: none (patient absent from GSE287541)"
408
+ },
409
+ {
410
+ "gsm": "GSM8747289",
411
+ "Sample_title": "N072_chili_TOL",
412
+ "ch_time": "TOL",
413
+ "reason": "no sc library at TOL; sc timepoints of this patient: none (patient absent from GSE287541)"
414
+ },
415
+ {
416
+ "gsm": "GSM8747290",
417
+ "Sample_title": "N073_chili_TOL",
418
+ "ch_time": "TOL",
419
+ "reason": "no sc library at TOL; sc timepoints of this patient: none (patient absent from GSE287541)"
420
+ },
421
+ {
422
+ "gsm": "GSM8747291",
423
+ "Sample_title": "N073_chili_FU1",
424
+ "ch_time": "FU1",
425
+ "reason": "no sc library at FU1; sc timepoints of this patient: none (patient absent from GSE287541)"
426
+ },
427
+ {
428
+ "gsm": "GSM8747292",
429
+ "Sample_title": "N078_chili_TOL",
430
+ "ch_time": "TOL",
431
+ "reason": "no sc library at TOL; sc timepoints of this patient: none (patient absent from GSE287541)"
432
+ },
433
+ {
434
+ "gsm": "GSM8747293",
435
+ "Sample_title": "N078_chili_FU1",
436
+ "ch_time": "FU1",
437
+ "reason": "no sc library at FU1; sc timepoints of this patient: none (patient absent from GSE287541)"
438
+ },
439
+ {
440
+ "gsm": "GSM8747294",
441
+ "Sample_title": "N002_chili_FU2",
442
+ "ch_time": "FU2",
443
+ "reason": "no sc library at FU2; sc timepoints of this patient: FU1,TOL"
444
+ },
445
+ {
446
+ "gsm": "GSM8747295",
447
+ "Sample_title": "N012_chili_FU2",
448
+ "ch_time": "FU2",
449
+ "reason": "no sc library at FU2; sc timepoints of this patient: FU1,TOL"
450
+ },
451
+ {
452
+ "gsm": "GSM8747296",
453
+ "Sample_title": "N022_chili_FU2",
454
+ "ch_time": "FU2",
455
+ "reason": "no sc library at FU2; sc timepoints of this patient: FU1,TOL"
456
+ },
457
+ {
458
+ "gsm": "GSM8747297",
459
+ "Sample_title": "N043_chili_FU2",
460
+ "ch_time": "FU2",
461
+ "reason": "no sc library at FU2; sc timepoints of this patient: FU1,TOL"
462
+ },
463
+ {
464
+ "gsm": "GSM8747302",
465
+ "Sample_title": "N050_control_BC",
466
+ "ch_time": "BC",
467
+ "reason": "no sc library at BC; sc timepoints of this patient: none (patient absent from GSE287541)"
468
+ },
469
+ {
470
+ "gsm": "GSM8747303",
471
+ "Sample_title": "N050_control_AC",
472
+ "ch_time": "AC",
473
+ "reason": "no sc library at AC; sc timepoints of this patient: none (patient absent from GSE287541)"
474
+ },
475
+ {
476
+ "gsm": "GSM8747304",
477
+ "Sample_title": "N055_control_BC",
478
+ "ch_time": "BC",
479
+ "reason": "no sc library at BC; sc timepoints of this patient: AC"
480
+ },
481
+ {
482
+ "gsm": "GSM8747306",
483
+ "Sample_title": "N063_control_BC",
484
+ "ch_time": "BC",
485
+ "reason": "no sc library at BC; sc timepoints of this patient: AC"
486
+ },
487
+ {
488
+ "gsm": "GSM8747308",
489
+ "Sample_title": "N101_chili_TOL",
490
+ "ch_time": "TOL",
491
+ "reason": "no sc library at TOL; sc timepoints of this patient: none (patient absent from GSE287541)"
492
+ },
493
+ {
494
+ "gsm": "GSM8747309",
495
+ "Sample_title": "N100_chili_TOL",
496
+ "ch_time": "TOL",
497
+ "reason": "no sc library at TOL; sc timepoints of this patient: none (patient absent from GSE287541)"
498
+ },
499
+ {
500
+ "gsm": "GSM8747311",
501
+ "Sample_title": "N111_chili_TOL",
502
+ "ch_time": "TOL",
503
+ "reason": "no sc library at TOL; sc timepoints of this patient: none (patient absent from GSE287541)"
504
+ },
505
+ {
506
+ "gsm": "GSM8747312",
507
+ "Sample_title": "N106_control_BC",
508
+ "ch_time": "BC",
509
+ "reason": "no sc library at BC; sc timepoints of this patient: AC"
510
+ },
511
+ {
512
+ "gsm": "GSM8747313",
513
+ "Sample_title": "N113_chili_TOL",
514
+ "ch_time": "TOL",
515
+ "reason": "no sc library at TOL; sc timepoints of this patient: none (patient absent from GSE287541)"
516
+ },
517
+ {
518
+ "gsm": "GSM8747314",
519
+ "Sample_title": "N96_control_BC",
520
+ "ch_time": "BC",
521
+ "reason": "no sc library at BC; sc timepoints of this patient: none (patient absent from GSE287541)"
522
+ },
523
+ {
524
+ "gsm": "GSM8747316",
525
+ "Sample_title": "N87_control_BC",
526
+ "ch_time": "BC",
527
+ "reason": "no sc library at BC; sc timepoints of this patient: AC"
528
+ },
529
+ {
530
+ "gsm": "GSM8747317",
531
+ "Sample_title": "N086_chili_BC",
532
+ "ch_time": "BC",
533
+ "reason": "no sc library at BC; sc timepoints of this patient: none (patient absent from GSE287541)"
534
+ },
535
+ {
536
+ "gsm": "GSM8747318",
537
+ "Sample_title": "N96_control_AC",
538
+ "ch_time": "AC",
539
+ "reason": "no sc library at AC; sc timepoints of this patient: none (patient absent from GSE287541)"
540
+ },
541
+ {
542
+ "gsm": "GSM8747319",
543
+ "Sample_title": "N101_chili_BC",
544
+ "ch_time": "BC",
545
+ "reason": "no sc library at BC; sc timepoints of this patient: none (patient absent from GSE287541)"
546
+ },
547
+ {
548
+ "gsm": "GSM8747320",
549
+ "Sample_title": "N111_chili_BC",
550
+ "ch_time": "BC",
551
+ "reason": "no sc library at BC; sc timepoints of this patient: none (patient absent from GSE287541)"
552
+ },
553
+ {
554
+ "gsm": "GSM8747321",
555
+ "Sample_title": "N117_chili_TOL",
556
+ "ch_time": "TOL",
557
+ "reason": "no sc library at TOL; sc timepoints of this patient: none (patient absent from GSE287541)"
558
+ },
559
+ {
560
+ "gsm": "GSM8747322",
561
+ "Sample_title": "N117_chili_FU1",
562
+ "ch_time": "FU1",
563
+ "reason": "no sc library at FU1; sc timepoints of this patient: none (patient absent from GSE287541)"
564
+ },
565
+ {
566
+ "gsm": "GSM8747323",
567
+ "Sample_title": "N117_chili_FU2",
568
+ "ch_time": "FU2",
569
+ "reason": "no sc library at FU2; sc timepoints of this patient: none (patient absent from GSE287541)"
570
+ },
571
+ {
572
+ "gsm": "GSM8747324",
573
+ "Sample_title": "N119_chili_TOL",
574
+ "ch_time": "TOL",
575
+ "reason": "no sc library at TOL; sc timepoints of this patient: none (patient absent from GSE287541)"
576
+ },
577
+ {
578
+ "gsm": "GSM8747325",
579
+ "Sample_title": "N119_chili_FU1",
580
+ "ch_time": "FU1",
581
+ "reason": "no sc library at FU1; sc timepoints of this patient: none (patient absent from GSE287541)"
582
+ },
583
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584
+ "gsm": "GSM8747326",
585
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586
+ "ch_time": "FU2",
587
+ "reason": "no sc library at FU2; sc timepoints of this patient: none (patient absent from GSE287541)"
588
+ },
589
+ {
590
+ "gsm": "GSM8747327",
591
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592
+ "ch_time": "BC",
593
+ "reason": "no sc library at BC; sc timepoints of this patient: none (patient absent from GSE287541)"
594
+ },
595
+ {
596
+ "gsm": "GSM8747328",
597
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598
+ "ch_time": "BC",
599
+ "reason": "no sc library at BC; sc timepoints of this patient: TOL,TOL"
600
+ },
601
+ {
602
+ "gsm": "GSM8747329",
603
+ "Sample_title": "N132_chili_TOL",
604
+ "ch_time": "TOL",
605
+ "reason": "no sc library at TOL; sc timepoints of this patient: none (patient absent from GSE287541)"
606
+ },
607
+ {
608
+ "gsm": "GSM8747330",
609
+ "Sample_title": "N132_chili_FU1",
610
+ "ch_time": "FU1",
611
+ "reason": "no sc library at FU1; sc timepoints of this patient: none (patient absent from GSE287541)"
612
+ },
613
+ {
614
+ "gsm": "GSM8747335",
615
+ "Sample_title": "N112_control_BC",
616
+ "ch_time": "BC",
617
+ "reason": "no sc library at BC; sc timepoints of this patient: none (patient absent from GSE287541)"
618
+ },
619
+ {
620
+ "gsm": "GSM8747336",
621
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622
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623
+ "reason": "no sc library at AC; sc timepoints of this patient: none (patient absent from GSE287541)"
624
+ },
625
+ {
626
+ "gsm": "GSM8747337",
627
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628
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629
+ "reason": "no sc library at BC; sc timepoints of this patient: none (patient absent from GSE287541)"
630
+ },
631
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632
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633
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634
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635
+ "reason": "no sc library at AC; sc timepoints of this patient: none (patient absent from GSE287541)"
636
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637
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638
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639
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640
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641
+ "reason": "no sc library at BC; sc timepoints of this patient: none (patient absent from GSE287541)"
642
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643
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644
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645
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646
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647
+ "reason": "no sc library at AC; sc timepoints of this patient: none (patient absent from GSE287541)"
648
+ },
649
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650
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651
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652
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653
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654
+ },
655
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656
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657
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658
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659
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661
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662
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663
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664
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665
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667
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668
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669
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670
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671
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672
+ },
673
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674
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675
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676
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677
+ "reason": "no sc library at TOL; sc timepoints of this patient: none (patient absent from GSE287541)"
678
+ },
679
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680
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681
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682
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683
+ "reason": "no sc library at BC; sc timepoints of this patient: none (patient absent from GSE287541)"
684
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685
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686
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687
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688
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689
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690
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691
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692
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693
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694
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695
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696
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697
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698
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699
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700
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701
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702
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703
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704
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705
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706
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707
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708
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709
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710
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711
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712
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713
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714
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715
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716
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717
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718
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719
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720
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722
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723
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724
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725
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726
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728
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729
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730
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731
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734
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735
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737
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740
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paper-releases/20260928/diffusion/data/cohorts/ji2025_chili/QC_REPORT.md ADDED
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1
+ # Ji 2025 ChILI: paired bulk and scRNA (QC report)
2
+
3
+ Study: Ji C et al., Cancer Immunol Immunother 2025 (PMC12049347). The patients developed liver injury on checkpoint inhibitors (ChILI) or were ICI-treated controls. Bulk is GEO GSE287540 and scRNA is GSE287541.
4
+ Built 2026-09-28 on server_1, CPU only. Processing directory: `/home/sj_server_1/gblee/datalake/paired-pbmc-bulk-sc/processing/ji2025_chili_v1_20260928/`.
5
+
6
+ ## Read this first: the bulk is whole blood, not PBMC
7
+
8
+ The GEO extract protocol and the paper's methods both say the bulk RNA came from **PAXgene whole-blood tubes**. The abstract says "PBMC". The data agree with the methods:
9
+
10
+ - Hemoglobin genes are a median 12.6% of bulk counts (range 4 to 26%), against 0.001% in the sc pseudobulk.
11
+ - Neutrophil genes are high in bulk and near zero in sc: FCGR3B is 1,999 vs 1.8 CPM and CXCR2 is 1,119 vs 3.4 CPM.
12
+
13
+ So a pair is the same patient at the same visit, but a different specimen. The sc data are PBMC with dead cells removed. A bulk-to-PBMC model will see neutrophil and globin signal that no PBMC cell can explain.
14
+
15
+ ## Result
16
+
17
+ **40 pairs from 23 patients** (17 patients have 2 pairs, 6 have 1). **33 pass** the identity checks, **5 are borderline** and **2 fail**. Every row is kept. `identity_pass` is True only for pass, as in Ye 2026. With that flag, `prepare_dataset.py` uses 33 rows from 20 patients.
18
+
19
+ | timepoint | meaning | pairs | outcome | retained cells per sample, median (min to max) |
20
+ |---|---|---|---|---|
21
+ | BC | before checkpoint inhibitor | 9 | all control | 3,087 (1,780 to 6,359) |
22
+ | AC | control patients, about 12 weeks after the first dose | 13 | all control | 3,749 (1,632 to 8,987) |
23
+ | TOL | time of liver injury | 10 | all ChILI | 3,431 (759 to 6,709) |
24
+ | FU1 | follow-up, 3 to 49 days after TOL | 8 | all ChILI | 3,903 (2,107 to 4,975) |
25
+ | all | | 40 | 22 control, 18 ChILI | 3,586 (759 to 8,987); 154,698 cells in total |
26
+
27
+ In these pairs, the timepoint fully determines the outcome. No ChILI patient has a paired BC: the four ChILI BC sc libraries have no bulk. So `groups` (= timepoint) also encodes case versus control. No FU2 sc library exists.
28
+
29
+ The earlier search expected 39 pairs. The 40th is **N087_AC**: bulk writes the ID as `N87` and sc as `N087`. It is marked `id_match = zero_padding_difference`. It is also one of the two identity failures.
30
+
31
+ ## Pairing rule
32
+
33
+ - Pair = same patient AND same GEO `time` label. Patient IDs are zero-padded to three digits. Timepoint is the GEO field; for sc it also equals the per-cell Seurat `Time`.
34
+ - An accepted pair must agree on GEO sex, outcome group and ICI regimen, and on age within 1 year. All 40 agree.
35
+ - Differences are recorded but not refused: N128_AC and N129_AC differ in age by 1 year, and N043_TOL has steroid `n` in bulk and `y` in sc.
36
+ - The 46 TCR GSMs are V(D)J libraries and are not paired.
37
+
38
+ **Not paired** (full lists in MANIFEST.json `excluded` and in `processing/.../pairing/`):
39
+
40
+ - 6 sc libraries have no bulk:
41
+ - N014_BC, N016_BC, N037_BC and N127_BC: these patients are not in the bulk series.
42
+ - N131_TOL has two libraries (Rd4a and Rd5), but bulk has N131 only at BC.
43
+ - 88 bulk samples have no sc: 39 BC, 24 AC, 12 TOL, 6 FU1 and 7 FU2.
44
+
45
+ ## Identity checks
46
+
47
+ **Sex.** Rule as in Ye 2026: XIST against RPS4Y1 + DDX3Y + UTY + KDM5D, in source-axis CPM.
48
+
49
+ - All 40 pairs agree across bulk, sc and GEO. All 46 sc libraries agree with GEO.
50
+ - **10 of 128 bulk samples disagree with GEO sex.** None is a paired bulk. They sit in two sequencing batches:
51
+ - Batch 3 (4 of 11): N106_control_BC, N87_control_BC, N086_chili_BC and N96_control_AC. These look like swapped labels.
52
+ - Batch 5 (6 of 22): N141 and N143 (GEO female, both samples male) and N146 (GEO male, both samples female). These look like wrong sex labels or a block swap.
53
+ - Treat every batch 3 and batch 5 bulk as less certain. Of the 7 non-passing pairs, 5 use batch 3 or 5 bulks.
54
+
55
+ **Expression, as in Ye.** Spearman over the top 2,000 genes by mean: only 4 of 40 bulks pick their own sc. This test tracks specimen type and composition, not the donor.
56
+
57
+ **Expression, donor-sensitive.** This test decides pass or fail. It uses no pairing information.
58
+
59
+ - Genes: 19,126 genes measured in all 128 bulks and all 46 sc libraries. chrY genes are excluded so this test is independent of the sex check.
60
+ - Method: within each modality, remove the top k sample PCs. Keep the 2,000 genes with the highest remaining variance in both modalities, then compute Pearson correlation for every bulk against every sc library.
61
+ - **k = 5** (about 10% of the 46 sc libraries; Ye used 10 for 133 libraries). Sensitivity runs used k = 0, 3, 8 and 10.
62
+ - Ranks are counted per patient, because each patient's other timepoint is a legitimate near-tie.
63
+
64
+ | k = 5 | result | chance |
65
+ |---|---|---|
66
+ | paired bulk's best sc patient is its own | 34 / 40 | about 4% |
67
+ | paired sc's best bulk patient is its own | 24 / 40 | about 2% |
68
+ | any bulk of an sc patient, best sc is the same patient | 41 / 55 | 3.9% |
69
+ | AUC, same patient vs other patient (all bulk × sc) | 0.90 | 0.5 |
70
+ | median r: paired / same patient, other timepoint / other patient | 0.17 / 0.10 / 0.00 | |
71
+ | 99th percentile of r between different patients | 0.15 | |
72
+ | own timepoint beats the same patient's other timepoint (bulk to sc) | 24 / 34 | about 50% |
73
+
74
+ **How well can this check discriminate?** Moderately, and much less than in Ye 2026 (paired r 0.58 there). Whole blood against PBMC, and 3′ QuantSeq against 10x 5′, leave little shared donor signal.
75
+
76
+ - A pass is good evidence that the bulk and sc come from the same patient.
77
+ - A borderline or fail result is weaker evidence of a swap than in Ye.
78
+ - The check cannot tell the two timepoints of one patient apart. Timepoint labels rest on GEO metadata alone.
79
+ - The number of passes is stable across k (34, 33, 33 and 35 for k = 3, 5, 8, 10). Individual borderline rows move between borderline and pass.
80
+
81
+ **Verdict rule.** Pass requires sex agreement, and the own patient must rank 1st in one direction and within the top 5 in the other.
82
+
83
+ | pair | verdict (k = 5) | bulk batch | note |
84
+ |---|---|---|---|
85
+ | N087_AC | fail (own patient ranks 8 and 13) | 3 | The sc library's best bulk is N96_control_BC. N96 and N87 are both batch-3 samples with sex problems. This is a lead only. |
86
+ | N158_BC | fail (ranks 11 and 18) | 5 | No strong alternative (best r 0.12). The same patient's AC pair passes. |
87
+ | N032_BC | borderline (ranks 1 and 13) | 2 | |
88
+ | N063_AC | borderline (ranks 3 and 14) | 2 | |
89
+ | N106_AC | borderline (ranks 2 and 2) | 3 | |
90
+ | N150_AC | borderline (ranks 1 and 8) | 5 | |
91
+ | N159_AC | borderline (ranks 9 and 3) | 5 | |
92
+
93
+ No pair was re-labelled.
94
+
95
+ **N127 and N131.** The cell names `N127131ACV00` and `N1131ACV01` suggested that N127 and N131 might be one person. The expression data say they are not: N127V00 against either N131 library gives r ≈ 0. The two N131V01 libraries (Rd4a and Rd5) correlate at r = 0.70, so they are one person. The Rd5 N131 library's `orig.ident` ends in "AC" although its time is TOL. None of these libraries is paired.
96
+
97
+ ## Processing
98
+
99
+ The run used the frozen ImMicro strict-QC code (bundle v5, copied unchanged and sha-checked), the same 20,097-gene GENCODE v49 axis and the same mapping rules.
100
+
101
+ **Bulk**
102
+
103
+ - One Salmon 1.10.0 gene × library table (GRCh38.p14, Ensembl 110) with 64,605 rows. Library names `itoxNNNNNN` join to GSMs through the GEO descriptions.
104
+ - **Count type:** Salmon estimated read counts, stored as float64 exactly as deposited. Nothing was rounded. The deposited table has **0 fractional values** among 8.27 M entries, so the authors must have rounded before depositing. GEO calls them "raw counts".
105
+ - 19,993 of 20,097 canonical genes are present; 104 are missing and marked unmeasured.
106
+ - 3,462 source IDs are unknown to the reference, including 4 non-gene IDs (`ENSAP1-3`, `ENSP00000344568`). There are no duplicate targets.
107
+ - Protocol: Lexogen QuantSeq 3′ FWD, 100 ng input, NextSeq 2000, 5 batches.
108
+
109
+ **scRNA**
110
+
111
+ - The source is a Seurat v4 object with 176,634 cells, 46 libraries and 36,601 features.
112
+ - Only `RNA@counts` was exported (integer UMIs; `data` and `scale.data` were not). The export wrote one MatrixMarket file per library, from `code/export_seurat_counts.R`.
113
+ - nCount_RNA, nFeature_RNA and percent.mt reproduce exactly from the exported counts.
114
+ - The object carries symbols only. Ensembl IDs come from the CellRanger GRCh38-2020-A features.tsv (13 byte-identical GEO copies). `make.unique(gsub("_","-",symbol))` reproduces all 36,601 Seurat row names in order.
115
+ - 19,227 canonical genes are present and 870 are missing (GENCODE v32 is older). **On the 6k panel, 5,759 of 6,000 genes are measured in sc, 5,992 in bulk and 5,752 in both.**
116
+ - Library = sequencing round + PID_visit (one GEO GPEX GSM each).
117
+ - **The object is already author-filtered.** The data show more than 200 genes, fewer than 5,000 genes and less than 5% mito per cell, but no UMI floor (minimum 368 UMIs).
118
+ - `flag_conservative_review_pass` (at least 200 genes, at least 500 UMIs, at most 20% mito) was still applied. It removes 1,020 cells, all from N032's two libraries (940 from N032_AC, 80 from N032_BC). 154,698 of 155,718 author cells in the paired libraries are kept. The MAD flags are review-only columns.
119
+ - `author_cell_type` is the authors' Azimuth `predicted.celltype.l2`. Level 1, level 3, the l2 score and the mapping score are extra columns appended after the Ye columns.
120
+ - Chemistry: 10x 5′ GEX + V(D)J, CellRanger multi.
121
+
122
+ ## Files
123
+
124
+ | file | contents |
125
+ |---|---|
126
+ | `features.npz` | One row per pair, in bulk GSM order. Ye keys, plus `timepoints`, `outcome` and pairing/metadata keys. `groups` = timepoint. `donor_ids` = patient. `bulk_raw` is 0 where not measured. |
127
+ | `cells_panel6k.npz` | CSR int32 counts for the retained cells: 154,698 × 6,000, 57.0 M nonzero, compressed. |
128
+ | `cells_full.npz` | The same cells on the full 20,097 axis, 170.0 M nonzero. Built by `tools/build_full_cells.py`, unmodified; see `cells_full.BUILD.json`. |
129
+ | `cells_obs.parquet` | One row per retained cell, same order. The Ye columns come first, then author labels and outcome. |
130
+ | `samples.csv`, `pairs.csv` | Row index, GEO fields, sex and expression checks, and the verdict for each pair. `pairs.csv` has sensitivity columns for k = 0, 3, 5, 8 and 10 (Ye has 10, 20 and 30). |
131
+ | `identity_*.csv` | Full sex tables for all 128 bulks and 46 sc libraries, and the expression tables. |
132
+ | `MANIFEST.json` | Sources with sha256, code with sha256, specimen evidence, discrimination by k, and all checks. |
133
+
134
+ Checks passed:
135
+
136
+ - Per row, the summed panel counts equal `pseudo_raw_sum[:, positions]` exactly, and the full-axis sums equal `pseudo_raw_sum`.
137
+ - Cell counts equal `qc_cell_counts`, and nothing is stored outside the measured masks.
138
+ - The `gene_positions` sha256 matches.
139
+ - `prepare_dataset.py --dataset ji2025_chili` runs.