Article

Comprehensive integration of single cell data

2018-11-02

Abstract excerpt

Single cell transcriptomics (scRNA-seq) has transformed our ability to discover and annotate cell types and states, but deep biological understanding requires more than a taxonomic listing of clusters. As new methods arise to measure distinct cellular modalities, including high-dimensional immunophenotypes, chromatin accessibility, and spatial positioning, a key analytical challenge is to integrate these datasets...

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Literature Corpus work: 0d7bc131-8f45-5b4f-bd5c-b76d7d1bd977
DOI: 10.1101/460147

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