Alavi et al., 2018 - Google Patents

A web server for comparative analysis of single-cell RNA-seq data

Alavi et al., 2018

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Document ID
6286676821246466756
Author
Alavi A
Ruffalo M
Parvangada A
Huang Z
Bar-Joseph Z
Publication year
Publication venue
Nature communications

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Snippet

Abstract Single cell RNA-Seq (scRNA-seq) studies profile thousands of cells in heterogeneous environments. Current methods for characterizing cells perform unsupervised analysis followed by assignment using a small set of known marker genes …
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