YosefLab/VISION: Functional interpretation of single cell RNA-seq latent manifolds
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.
Getting started
Browse package contents
Package details |
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| 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 <mattjones315@gmail.com> |
| License | MIT + file LICENSE |
| Version | 3.0.2 |
| URL | https://yoseflab.github.io/VISION https://github.com/yoseflab/VISION |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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