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kahkengwong/CEP-IP_Framework

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Permissive or share-alike

The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at e62d956
Licence files: No licence file at the top level of the repositoryEvidence: file list at e62d956
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

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Citation text from the card

If you use any of these processed datasets, please cite:

Wong KK (2026). CEP-IP: An explainable framework for cell subpopulation identification in single-cell transcriptomics. Computer Methods and Programs in Biomedicine, 282, 109372. https://doi.org/10.1016/j.cmpb.2026.109372

Please also cite the respective source datasets:

Wong HY, Sheng Q, Hesterberg AB, Croessmann S et al (2022). Single cell analysis of cribriform prostate cancer reveals cell intrinsic and tumor microenvironmental pathways of aggressive disease. Nat Commun 13(1):6036. https://doi.org/10.1038/s41467-022-33780-1

Hodge RD, Bakken TE, Miller JA, Smith KA et al (2019). Conserved cell types with divergent features in human versus mouse cortex. Nature 573:61-68. https://doi.org/10.1038/s41586-019-1506-7

Neftel C, Laffy J, Filbin MG, Hara T et al (2019). An Integrative Model of Cellular States, Plasticity, and Genetics for Glioblastoma. Cell 178:835-849. https://doi.org/10.1016/j.cell.2019.06.024

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dataset_licence({ "id": "kahkengwong/CEP-IP_Framework" })
signal: "permissive"
stated_licence: "mit"
sources: 0