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singIST: an R/Bioconductor library and Quarto dashboard for automated single-cell comparative transcriptomics analysis of disease models and humans

2026-03-09

Abstract excerpt

Preclinical disease models often diverge from human pathophysiology at single-cell resolution, complicating model selection and limiting translational value. We present singIST , an R/Bioconductor package for quantitative and explainable comparison of disease model scRNA-seq data against a human reference. For each superpathway, singIST fits an adaptive sparse multi-block PLS-DA model on human pseudobulk express...

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Literature Corpus work
bd9976d8-f3cf-5bdc-bb7f-bde58e92a0c9
DOI
10.64898/2026.03.03.709270
Open publication

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