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.
CRISPR screening reveals that RNA helicase DDX41 triggers ribosome biogenesis and cancer progression through R -loop-mediated RPL/RPS transcription
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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.