{
 "format": "oscr-script-manifest/1",
 "repository": "github.com/royahuang/2026_huanganand",
 "url": "https://github.com/royahuang/2026_HuangAnand",
 "host": "github.com",
 "commit": "dd0c80ba3a29947a4e7f7d040f75d568f40936c6",
 "license": "MIT",
 "license_confirmed_by": "license file LICENSE",
 "redistribution": "yes",
 "files": [
  {
   "path": "CA_transduction_efficiency_analysis.py",
   "sha256": "b203849e779a07e0dbcbb83155bcfd62e2a89542972f5521cc23ff4abb77c4fa",
   "language": "Python",
   "lines": 377,
   "truncated": false,
   "block": 3,
   "row": 26011
  },
  {
   "path": "GA_analysis_1_clustering_week4.ipynb",
   "sha256": "b9e70373eefc776932ff875d37566cbfebfbdd009ba45d1403c13baeea832ec2",
   "language": "Jupyter",
   "lines": 683,
   "truncated": false,
   "block": 3,
   "row": 7748
  },
  {
   "path": "GA_analysis_2_clustering_day2_week4_ectoderm.ipynb",
   "sha256": "1a60c69372dc23ced022f027b1cd5b00da2c1c36adda7b16a9132c100b893347",
   "language": "Jupyter",
   "lines": 967,
   "truncated": false,
   "block": 3,
   "row": 7817
  },
  {
   "path": "GA_analysis_3_comparing_day2_week4.ipynb",
   "sha256": "cd45a96c2c2abb1134ac5f72f32f0ab4e3ea0048fbbac17c3a239673d8f3d151",
   "language": "Jupyter",
   "lines": 791,
   "truncated": false,
   "block": 3,
   "row": 7807
  },
  {
   "path": "GA_plot_organoid_features.ipynb",
   "sha256": "9cb982cc4e7e107d28239c07e7aa0336f3bf808298cfe41273757c2dd3403706",
   "language": "Jupyter",
   "lines": 43,
   "truncated": false,
   "block": 3,
   "row": 7057
  },
  {
   "path": "JC_1_Preprocessing_Clustering.R",
   "sha256": "e94c474cdf5e6e4e910ef9bbea374f2f30242523d66af83b8b0187620a176db3",
   "language": "R",
   "lines": 100,
   "truncated": false,
   "block": 4,
   "row": 670
  },
  {
   "path": "JC_3_ClusterProfiler_Annotation.R",
   "sha256": "fb5964aa05a7c8ecb88a442b75f71f3fb44e669264a6d9d1f9e3a8b764b53b3d",
   "language": "R",
   "lines": 249,
   "truncated": false,
   "block": 4,
   "row": 827
  },
  {
   "path": "JC_hdWGCNA.R",
   "sha256": "5ebd53049c8e46a12b56fc17d199af672e9390b4f7291734ced15fdc305053d2",
   "language": "R",
   "lines": 216,
   "truncated": false,
   "block": 4,
   "row": 831
  },
  {
   "path": "LICENSE",
   "sha256": "82069cae36127e7be49862998473758b428bbc41a7a404053f15e95ef954c8ed",
   "language": "License",
   "lines": 21,
   "truncated": false,
   "block": 3,
   "row": 7947
  },
  {
   "path": "README.md",
   "sha256": "e8b7b1bde49414b5b3556453a33068debe65c69d0cf61f2093b1236b306dcda7",
   "language": "Text",
   "lines": 4,
   "truncated": false,
   "block": 4,
   "row": 2305
  },
  {
   "path": "RH291_analysis_1_merging_guide_calls.ipynb",
   "sha256": "b642faf9816c6d4794c3c5f74cf29970b149ebcdff93b69b37dae22f856dd9be",
   "language": "Jupyter",
   "lines": 355,
   "truncated": false,
   "block": 3,
   "row": 7652
  },
  {
   "path": "RH291_analysis_2b_performing_SMD_on_RHTE_data.ipynb",
   "sha256": "94e40e9bff44ff6959db5c2b9878a18af60ac280380204a718129589f59a0909",
   "language": "Jupyter",
   "lines": 212,
   "truncated": false,
   "block": 3,
   "row": 7448
  },
  {
   "path": "RH291_analysis_3b_selecting_RH_data_from_RHTE_data.ipynb",
   "sha256": "c21f74bd6a478d4685594448bc79a910c61158c48f54e8cce548ae6781066639",
   "language": "Jupyter",
   "lines": 257,
   "truncated": false,
   "block": 3,
   "row": 7546
  },
  {
   "path": "RH291_analysis_4_performing_SMD_on_RH_data.ipynb",
   "sha256": "b4d89a2d6efdfe2eb16d3e5d05601eeff7753822a6adb2315ab056775d5a55a9",
   "language": "Jupyter",
   "lines": 319,
   "truncated": false,
   "block": 3,
   "row": 7584
  },
  {
   "path": "RH291_analysis_5_selecting_cell_types.ipynb",
   "sha256": "23292683982f5e4342f95bdd438f0cd26fcb9b3c2ebe31478394e700cf41c979",
   "language": "Jupyter",
   "lines": 287,
   "truncated": false,
   "block": 3,
   "row": 7567
  },
  {
   "path": "RH291_analysis_5a_phenotypes_on_saved_PCA.ipynb",
   "sha256": "a164aa7e1678bf84b3d09c161142ed02bfad7bb0c6d683375d4d6f080b99ecfa",
   "language": "Jupyter",
   "lines": 387,
   "truncated": false,
   "block": 3,
   "row": 7685
  },
  {
   "path": "RH296_analysis_6b_analyzing_NE_expression.ipynb",
   "sha256": "eab07a43794f23243351d60f17b857bb34a58bc1cf04d23a5f6b1b5b60a176c6",
   "language": "Jupyter",
   "lines": 200,
   "truncated": false,
   "block": 3,
   "row": 7420
  },
  {
   "path": "RH296_analysis_6b_analyzing_NPB_expression.ipynb",
   "sha256": "42d38b7d78e3960c51061415bb02cccd1e984384179ac6d4cbd879d6443a91f8",
   "language": "Jupyter",
   "lines": 193,
   "truncated": false,
   "block": 3,
   "row": 7408
  },
  {
   "path": "RH296_analysis_6b_analyzing_SE_expression.ipynb",
   "sha256": "4eead8e34214c3b8b3364b2917533aa8a82319e99da5a197bd2c5067a7815707",
   "language": "Jupyter",
   "lines": 197,
   "truncated": false,
   "block": 3,
   "row": 7407
  },
  {
   "path": "RH296_analysis_7_choosing candidates.ipynb",
   "sha256": "b5d39e8f48caa5f29a72b46eb38c5c23c2d612ef4c320c408123dd18c8e975aa",
   "language": "Jupyter",
   "lines": 928,
   "truncated": false,
   "block": 3,
   "row": 7810
  }
 ]
}