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.
TRPM4 contributes to cell death in prostate cancer tumor spheroids, and to extravasation and metastasis in a zebrafish xenograft model system
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.GN 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.