VISION provides functional interpretation of single cell RNA-seq (scRNA-seq) latent manifolds through the use of biological signatures (which can be downloaded from online databases). VISION can operate downstream of other common analyses such as dimensionality reduction, clustering, or trajectory analysis of scRNA-seq data. VISION produces an interactive web-based output report that can be easily shared with other collaborators or the greater scientific community.
|Author||Matt Jones [aut, cre], David Detomaso [aut, cre], Tal Ashuach [aut], Nir Yosef [ctb]|
|Bioconductor views||GeneExpression RNASeq Sequencing SingleCell Software Transcriptomics|
|Maintainer||Matt Jones <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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