CEP-IP is a new explainable framework that combines dual statistical filtering, generalized additive modeling, and inflection point analysis to identify four biologically distinct cell subpopulations per patient across prostate cancer, brain, and glioblastoma scRNA-seq datasets.
Caloric restriction enhances the efficacy of anti - androgen therapy in prostate cancer by inhibiting androgen receptor translation
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CEP-IP: An Explainable Framework for Cell Subpopulation Identification in Single-cell Transcriptomics
CEP-IP is a new explainable framework that combines dual statistical filtering, generalized additive modeling, and inflection point analysis to identify four biologically distinct cell subpopulations per patient across prostate cancer, brain, and glioblastoma scRNA-seq datasets.