Package: Linnorm
Type: Package
Title: Linear model and normality based normalization and
        transformation method (Linnorm)
Version: 2.31.0
Date: 2023-10-12
Authors@R: 
  c(person(given = "Ken Shun Hang",
           family = "Yip",
           role = c("aut", "cre"),
           email = "shunyip@bu.edu"))
Author: Shun Hang Yip <shunyip@bu.edu>
Maintainer: Shun Hang Yip <shunyip@bu.edu>
Description: Linnorm is an algorithm for normalizing and transforming RNA-seq, single cell RNA-seq, ChIP-seq count data or any large scale count data. It has been independently reviewed by Tian et al. on Nature Methods (https://doi.org/10.1038/s41592-019-0425-8). 
    Linnorm can work with raw count, CPM, RPKM, FPKM and TPM.
Depends: R(>= 4.1.0)
License: MIT + file LICENSE
Imports: Rcpp (>= 0.12.2), RcppArmadillo (>= 0.8.100.1.0), fpc, vegan,
        mclust, apcluster, ggplot2, ellipse, limma, utils, statmod,
        MASS, igraph, grDevices, graphics, fastcluster, ggdendro, zoo,
        stats, amap, Rtsne, gmodels
LinkingTo: Rcpp, RcppArmadillo
Suggests: BiocStyle, knitr, rmarkdown, markdown, gplots, RColorBrewer,
        moments, testthat, matrixStats
VignetteBuilder: knitr
biocViews: ImmunoOncology, Sequencing, ChIPSeq, RNASeq,
        DifferentialExpression, GeneExpression, Genetics,
        Normalization, Software, Transcription, BatchEffect,
        PeakDetection, Clustering, Network, SingleCell
NeedsCompilation: yes
LazyData: false
URL: https://doi.org/10.1093/nar/gkx828
RoxygenNote: 7.2.3
git_url: https://git.bioconductor.org/packages/Linnorm
git_branch: devel
git_last_commit: 5c4a716
git_last_commit_date: 2024-10-29
Repository: Bioconductor 3.21
Date/Publication: 2024-11-22
Packaged: 2024-11-22 23:08:21 UTC; biocbuild
Built: R 4.5.0; x86_64-apple-darwin20; 2024-11-23 09:56:07 UTC; unix
