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M3Drop: dropout-based feature selection for scRNASeq
MOTIVATION: Most genomes contain thousands of genes, but for most functional responses, only a subset of those genes are relevant. To facilitate many single-cell RNASeq (scRNASeq) analyses the set of genes is often reduced through feature selection, i.e. by removing genes only subject to technical n...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691329/ https://www.ncbi.nlm.nih.gov/pubmed/30590489 http://dx.doi.org/10.1093/bioinformatics/bty1044 |