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.
Enhancing biological signals and detection rates in single-cell RNA-seq experiments with cDNA library equalization
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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.