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Article

Functional Interpretation of Single-Cell Similarity Maps

2018-08-29

Abstract excerpt

We present VISION, a tool for annotating the sources of variation in single cell RNA-seq data in an automated, unbiased and scalable manner. VISION operates directly on the manifold of cell-cell similarity and employs a flexible annotation approach that can operate either with or without preconceived stratification of the cells into groups or along a continuum. We demonstrate the utility of VISION using a relative...

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Identifiers and source

Literature Corpus work
13b35bde-c3bb-5c74-bc2f-647069b10679
DOI
10.1101/403055
Open publication

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Functional Interpretation of Single-Cell Similarity MapsDOI 10.1101/403055
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