Commit History

27 days ago

  1. Virtual OpenCell: show the 2D/3D switch again (3D set regenerated) Running

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    664846d

28 days ago

  1. Virtual OpenCell: hide the 3D view while the 3D set is regenerated

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    188d57a
  2. Virtual OpenCell: switch between 2D and 3D virtual staining; 3D shown one confocal slice at a time

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  3. Centre the full virtual staining map

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  4. Center the full virtual staining map heading

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29 days ago

  1. ZeroGPU duration 75 s: ~2x a measured run, two anonymous runs a day

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    10b2d78
  2. Condensate Titration: input-only panel, row/column comparison in the scan, ZeroGPU duration 120 s

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    f2dfd29
  3. Condensate Titration: Virtual OpenCell layout and style; GPU only generates and classifies

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    e8ad02e
  4. Condensate Titration: the paper's ΔAUC and ΔAAC substitution matrices, click a cell for its distribution

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    3c4fb84

  1. Condensate Titration: let the generated-images gallery scroll

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  2. Condensate Titration: caption each generated image with its expression level only

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  3. Condensate Titration: show all 512 generated images in a gallery, captioned with level and call

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  4. Condensate Titration: report only AUC, AAC and sequence length

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  5. Add the citation: paper link under the title, BibTeX in the app and the README

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  6. Virtual OpenCell: show the full map by default, below the viewer

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  7. Virtual OpenCell: click the map to open the full map, every image and every protein named

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  1. Virtual OpenCell: let the sample strip scroll instead of clipping past two rows

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  1. Virtual OpenCell: say plainly what the map draws (12 images per protein, all of the selected one)

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  2. Virtual OpenCell: add the interactive virtual staining map (UMAP), with the selected protein outlined

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  3. Use the notebook's condensate titration flow diagram (notebooks/images/cellfm_flow_diagram.png)

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  4. Add the Virtual OpenCell tab: browse CELL-FM's virtual staining of 1,276 OpenCell proteins

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  1. Drop the top-level copies; they live in cell_fm/apps/condenseq now

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  2. Import the CondenSeq app modules from cell_fm.apps.condenseq; add vit_cls

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    a46a831

  1. Lead the noise section with pairing; a paired single-residue change is resolvable

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  2. Correct the reference values (they were unseeded) and state the seed noise; document the numpy<2 constraint

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  3. Use the supplied flow diagram artwork; drop the generated figure

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  4. Diagram: ViT label, larger in-box type, AUC/AAC anchored in their regions

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  5. Trim the section text to one line; let the flow diagram carry the explanation

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  6. Replace the explainer with a pipeline flow diagram

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  7. Add a schematic explaining the pipeline and what AUC and AAC measure

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  8. Label the input 'IDP sequence'

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  9. Drop the preset dropdown; label the box IDP sequence (66 aa)

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  10. Sequence is the only input, fixed at 66 aa; sampling settings pinned

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  11. Say Intrinsically Disordered Peptide (IDP) rather than region/IDR

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  12. Reword the model description

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  13. Rename to CELL-FM; make Condensate Titration the first of several app sections

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  14. Add MIT license

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  15. Fix 500 on /gradio_api/info: handle bool additionalProperties schemas

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  16. Let Spaces install gradio from sdk_version (5.9.1); fixes 500 on /

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  17. Do not pass share= on Spaces; it aborts launch when localhost is unreachable

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  18. Pin gradio/gradio_client together to fix the startup schema crash

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  19. Add loguru/tqdm/torchdiffeq; make wandb optional

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  20. Pin torch 2.8.0 for ZeroGPU; build models on CPU at startup

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  21. CELL-FM CondenSeq demo: sequence -> titration curve, AUC and AAC

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  22. initial commit

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