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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| 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 |