Protocol to benchmark gene expression signature scoring techniques for single-cell RNA sequencing data in cancer

Scoring gene signatures is common for bulk and single-cell RNA sequencing (scRNAseq) data. Here, using cancer as a data model, we describe steps to benchmark signature scoring techniques for scRNAseq data in the context of uneven gene dropouts. These steps include identifying and comparing deregulat...

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Detalles Bibliográficos
Autores principales: Noureen, Nighat, Wang, Xiaojing, Zheng, Siyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9706629/
https://www.ncbi.nlm.nih.gov/pubmed/36595948
http://dx.doi.org/10.1016/j.xpro.2022.101877

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9706629/
https://www.ncbi.nlm.nih.gov/pubmed/36595948
http://dx.doi.org/10.1016/j.xpro.2022.101877

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