Spaces:
Running on Zero
Running on Zero
Commit History
2 days ago
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ZeroGPU duration 75 s: ~2x a measured run, two anonymous runs a day
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Condensate Titration: input-only panel, row/column comparison in the scan, ZeroGPU duration 120 s
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Condensate Titration: Virtual OpenCell layout and style; GPU only generates and classifies
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Condensate Titration: the paper's ΔAUC and ΔAAC substitution matrices, click a cell for its distribution
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10 days ago
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Add the citation: paper link under the title, BibTeX in the app and the README
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12 days ago
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Virtual OpenCell: add the interactive virtual staining map (UMAP), with the selected protein outlined
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Add the Virtual OpenCell tab: browse CELL-FM's virtual staining of 1,276 OpenCell proteins
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Lead the noise section with pairing; a paired single-residue change is resolvable
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Correct the reference values (they were unseeded) and state the seed noise; document the numpy<2 constraint
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Use the supplied flow diagram artwork; drop the generated figure
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Drop the preset dropdown; label the box IDP sequence (66 aa)
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Sequence is the only input, fixed at 66 aa; sampling settings pinned
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Say Intrinsically Disordered Peptide (IDP) rather than region/IDR
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Reword the model description
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Rename to CELL-FM; make Condensate Titration the first of several app sections
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Add MIT license
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Let Spaces install gradio from sdk_version (5.9.1); fixes 500 on /
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Pin gradio/gradio_client together to fix the startup schema crash
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CELL-FM CondenSeq demo: sequence -> titration curve, AUC and AAC
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initial commit
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