Kernel-based testing for single-cell differential analysis

Abstract Single-cell technologies offer insights into molecular feature distributions, but comparing them poses challenges. We propose a kernel-testing framework for non-linear cell-wise distribution comparison, analyzing gene expression and epigenomic modifications. Our method allows feature-wise a...

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Bibliografiske detaljer

Principais autores:	A. Ozier-Lafontaine, C. Fourneaux, G. Durif, P. Arsenteva, C. Vallot, O. Gandrillon, S. Gonin-Giraud, B. Michel, F. Picard
Format:	Artigo
Sprog:	Inglês
Udgivet:	BMC 2024-05-01
Serier:	Genome Biology
Fag:	Single cell transcriptomics Single cell epigenomics Differential analysis Kernel methods
Online adgang:	https://doi.org/10.1186/s13059-024-03255-1
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