Package: VISION
Title: Functional interpretation of single cell RNA-seq latent
        manifolds
Version: 2.0.0
Authors@R: c(person("Matt", "Jones", email = "mattjones315@gmail.com", role = c("aut", "cre")),
			 person("David", "Detomaso", email = "david.detomaso@berkeley.edu", role = c("aut", "cre")),
			 person("Tal", "Ashuach", email = "tal_ashuach@berkeley.edu", role = c("aut")),
			 person("Nir", "Yosef", email = "niryosef@berkeley.edu", role = c("ctb", "cph")))
Author: Matt Jones [aut, cre], David Detomaso [aut, cre], Tal Ashuach [aut], Nir Yosef [ctb]
Maintainer: Matt Jones <mattjones315@gmail.com>
Description: 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.
Depends: R (>= 3.4)
Imports: fastICA, igraph, irlba, jsonlite, loe, logging, parallel,
        pbmcapply (>= 1.3.1), Matrix, matrixStats, mclust, methods,
        mime, plumber, RANN, Rcpp (>= 1.0.0), rsvd, stats, Rtsne,
        utils, vegan, wordspace
LinkingTo: Rcpp
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://yoseflab.github.io/VISION,
        https://github.com/yoseflab/VISION
BugReports: https://github.com/YosefLab/VISION/issues
RoxygenNote: 6.1.1
Suggests: Biobase, BiocStyle, ggplot2, hdf5r, knitr, rmarkdown,
        SummarizedExperiment, testthat, uwot
biocViews: GeneExpression, RNASeq, Software, SingleCell,
        Transcriptomics, Sequencing
VignetteBuilder: knitr
Built: R 4.2.1; x86_64-conda-linux-gnu; 2022-11-03 19:29:47 UTC; unix
