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bioRxiv · 10.1101/2021.03.12.435089

Discriminative feature of cells characterizes cell populations of interest by a small subset of genes

Fujii, T.·Maehara, K.·Fujita, M.·Ohkawa, Y.
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Abstract

Differentially expressed gene-based analysis have faced difficulties associated with the inflation of P-values because of both the large sample size and selection bias introduced by exploratory data analysis in single-cell transcriptomics. Here, we propose the concept of discriminative feature of cells (DFC), implemented by logistic regression with an adaptive LASSO penalty. Adaptive LASSO selects a small subset of genes to discriminate a population of interest. DFC well captured non-independent structure of expression patterns such as cell-type-specific markers, specific composition of gene expression, and subcategories of this cell population. DFC may complement existing methods for interpreting large data sets.

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Fujii, T., Maehara, K., Fujita, M., Ohkawa, Y.. 2021-03-12. Discriminative feature of cells characterizes cell populations of interest by a small subset of genes. https://doi.org/10.1101/2021.03.12.435089

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