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CBKMR: A Copula-based Bayesian Kernel Machine Regression Framework for Optimal Marker Detection in Omics Data

2025-11-19

Abstract excerpt

High-throughput bulk and single-cell omics technologies enable comprehensive molecular profiling, yet identifying compact, biologically interpretable marker sets that distinguish cell types, conditions, or disease states remains challenging. Standard pipelines rely on univariate differential expression tests, which ignore gene–gene dependencies and nonlinear effects, while multivariate machine-learning (ML) method...

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Literature Corpus work: 0b39517e-93f1-51ab-9e29-50779eb96412
DOI: 10.1101/2025.11.18.689140

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