Published December 12, 2025 | Version v1
Dataset Open

Files related to scMalignantFinder

Authors/Creators

Description

combine_training.h5ad: training data

test_TabulaSapiens.h5ad: test data of healthy organs

test_cancerCellLine.h5ad: test data of cancer cell lines

combined_tumor_up_down_degs.txt: feature list for pretrained model

ordered_feature.tsv: ordered feature list for pretrained model

model.joblib: pretrained model

sc_malignant_deg.gmt: genes upregulated or downregulated in  malignant cells

Malignant_MPs.Gavish_2023.gmt: 67 cancer cell state gene sets

Files

combined_tumor_up_down_degs.txt

Files (9.8 GB)

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md5:77eabc7d5f222c2d5f36e2cacb434f85
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md5:f22585d1cec7e949a90d96138c05af4e
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md5:93c92b1460fac08ce53d232eb216e74b
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md5:3410e3121bae007f78c643b45389326f
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md5:f22585d1cec7e949a90d96138c05af4e
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md5:cf8fd44a6acd42cac0c3086287e491bd
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md5:85a197254807a6cc7d9b2e7778a1fc57
3.7 GB Download

Additional details

Related works

Is source of
Dataset: 10.1038/s42003-025-07942-y (DOI)

Dates

Available
2025-03-27

References

  • Yu, Qiaoni, Yuan-Yuan Li, and Yunqin Chen. "scMalignantFinder distinguishes malignant cells in single-cell and spatial transcriptomics by leveraging cancer signatures." Communications Biology 8.1 (2025): 504.