scvis is a tool to reduce dimensionality in single-cell RNA-seq data. The scvis algorithm learns a probabilistic parametric mapping function for adding new data.
scvis is a tool to reduce dimensionality in single-cell RNA-seq data. The scvis algorithm learns a probabilistic parametric mapping function for adding new data.
Credit:
Discovery Frontiers project, the Natural Sciences and Engineering Research Council (NSERC), Genome Canada (GC), the Canadian Institutes of Health Research (CIHR), the Canada Foundation for Innovation (CFI), BC Cancer Foundation, the Canadian Breast Cancer Foundation, the Canadian Cancer Society Research Institute, the Terry Fox Research Institute, CIHR Foundation, Michael Smith Foundation for Health Research scholar, Susan G. Komen.
Ding J, Condon A, Shah SP "Interpretable dimensionality reduction of single cell transcriptome data with deep generative models." Nat Commun. 2018 May 21;9(1):2002. https://doi.org/10.1038/s41467-018-04368-5
PMID: 29784946
PMCID: PMC5962608