Functional interpretation of single cell similarity maps.
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ABSTRACT:
SUBMITTER: DeTomaso D
PROVIDER: S-EPMC6763499 | biostudies-literature | 2019 Sep
REPOSITORIES: biostudies-literature
Publications
Functional interpretation of single cell similarity maps.
DeTomaso David D Jones Matthew G MG Subramaniam Meena M Ashuach Tal T Ye Chun J CJ Yosef Nir N
Nature communications 20190926 1
We present Vision, a tool for annotating the sources of variation in single cell RNA-seq data in an automated 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 in several case studies and show that it can derive important sources of cellular variation and link them to ...[more]
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