A clustering-independent method for finding differentially expressed genes in single-cell transcriptome data

How cell clusters are defined in single-cell sequencing data has important consequences for downstream analyses and the interpretation of results, but is often not straightforward. Here, the authors present a new approach that enables the prediction of differentially expressed genes without relying...

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Autores principales: Alexis Vandenbon, Diego Diez
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/1be0aefe11034fad8a85057c8b048b54
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