Package: singleCellTK Type: Package Title: Interactive Analysis of Single Cell RNA-Seq Data Version: 1.8.0 Author: David Jenkins Authors@R: c(person(given="David", family="Jenkins", email="dfj@bu.edu", role=c("aut","cre"), comment = c(ORCID = "0000-0002-7451-4288")), person(given="Tyler", family="Faits", email="tfaits@bu.edu", role=c("aut")), person(given=c("Mohammed", "Muzamil"), family="Khan", email="mmkhan@bu.edu", role=c("aut")), person(given="Zhe", family="Wang", email="zhe@bu.edu", role=c("aut")), person(given="Emma", family="Briars", email="ebriars@bu.edu", role=c("aut"), comment = c(ORCID = "0000-0001-9350-5523")), person(given="Sebastian", family="Carrasco Pro", email="abild@coh.org", role=c("aut")), person(given=c("W.", "Evan"), family="Johnson", email="wej@bu.edu", role=c("aut"), comment = c(ORCID = "0000-0002-6247-6595"))) Maintainer: David Jenkins <dfj@bu.edu> Depends: R (>= 3.5), SummarizedExperiment, SingleCellExperiment, DelayedArray, Biobase Description: Run common single cell analysis directly through your browser including differential expression, downsampling analysis, and clustering. License: MIT + file LICENSE Encoding: UTF-8 biocViews: SingleCell, GeneExpression, DifferentialExpression, Alignment, Clustering, ImmunoOncology LazyData: TRUE Imports: ape, colourpicker, cluster, ComplexHeatmap, data.table, DESeq2, DT, ggplot2, ggtree, gridExtra, GSVA (>= 1.26.0), GSVAdata, limma, MAST, matrixStats, methods, multtest, plotly, RColorBrewer, Rtsne, S4Vectors, shiny, shinyjs, shinyBS, sva, reshape2, AnnotationDbi, shinyalert, circlize, enrichR, celda, shinycssloaders, shinythemes, umap RoxygenNote: 6.1.1 Suggests: testthat, Rsubread, BiocStyle, knitr, lintr, bladderbatch, rmarkdown, org.Mm.eg.db, org.Hs.eg.db, scRNAseq, xtable, spelling, GSEABase VignetteBuilder: knitr URL: https://compbiomed.github.io/sctk_docs/ BugReports: https://github.com/compbiomed/singleCellTK/issues Language: en-US