Package: SIMLR
Version: 1.14.0
Date: 2020-04-14
Title: Single-cell Interpretation via Multi-kernel LeaRning (SIMLR)
Authors@R: c(person("Daniele", "Ramazzotti", role=c("aut", "cre"), email="daniele.ramazzotti1@gmail.com"),
             person("Bo", "Wang", role=c("aut"), email="wangbo.yunze@gmail.com"),
             person("Luca", "De Sano", role=c("aut"), email="luca.desano@gmail.com"),
             person("Serafim", "Batzoglou", role=c("ctb")))
Maintainer: Luca De Sano <luca.desano@gmail.com>
Depends: R (>= 4.0),
Imports: parallel, Matrix, stats, methods, Rcpp, pracma, RcppAnnoy,
        RSpectra
Suggests: BiocGenerics, BiocStyle, testthat, knitr, igraph
Description: 
    Single-cell RNA-seq technologies enable high throughput gene expression measurement of individual cells, and allow the discovery of heterogeneity within cell populations. Measurement of cell-to-cell gene expression similarity is critical for the identification, visualization and analysis of cell populations. However, single-cell data introduce challenges to conventional measures of gene expression similarity because of the high level of noise, outliers and dropouts. We develop a novel similarity-learning framework, SIMLR (Single-cell Interpretation via Multi-kernel LeaRning), which learns an appropriate distance metric from the data for dimension reduction, clustering and visualization. 
Encoding: UTF-8
LazyData: TRUE
License: file LICENSE
URL: https://github.com/BatzoglouLabSU/SIMLR
BugReports: https://github.com/BatzoglouLabSU/SIMLR
biocViews: ImmunoOncology, Clustering, GeneExpression, Sequencing,
        SingleCell
RoxygenNote: 7.1.0
LinkingTo: Rcpp
NeedsCompilation: yes
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/SIMLR
git_branch: RELEASE_3_11
git_last_commit: 5ed9270
git_last_commit_date: 2020-04-27
Date/Publication: 2020-04-27
Packaged: 2020-04-28 05:11:21 UTC; biocbuild
Author: Daniele Ramazzotti [aut, cre],
  Bo Wang [aut],
  Luca De Sano [aut],
  Serafim Batzoglou [ctb]
Built: R 4.0.0; i386-w64-mingw32; 2020-04-28 17:38:07 UTC; windows
Archs: i386, x64
