Dissecting tumor cell programs through group biology estimation in clinical single-cell transcriptomics

Abstract With the growth of clinical cancer single-cell RNA sequencing studies, robust differential expression methods for case/control analyses (e.g., treatment responders vs. non-responders) using gene signatures are pivotal to nominate hypotheses for further investigation. However, many commonly...

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Detalhes bibliográficos

Principais autores:	Shreya Johri, Kevin Bi, Breanna M. Titchen, Jingxin Fu, Jake Conway, Jett P. Crowdis, Natalie I. Vokes, Zenghua Fan, Lawrence Fong, Jihye Park, David Liu, Meng Xiao He, Eliezer M. Van Allen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-03-01
coleção:	Nature Communications
Acesso em linha:	https://doi.org/10.1038/s41467-025-57377-6
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