Article

matchSCore: Matching Single-Cell Phenotypes Across Tools and Experiments

2018-05-07

Abstract excerpt

Single-cell transcriptomics allows the identification of cellular types, subtypes and states through cell clustering. In this process, similar cells are grouped before determining co-expressed marker genes for phenotype inference. The performance of computational tools is directly associated to their marker identification accuracy, but the lack of an optimal solution challenges a systematic method comparison. More...

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Literature Corpus work: b154c831-2b0f-55d1-979a-c64a5f51c625
DOI: 10.1101/314831

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