Package: Linnorm
Type: Package
Title: Linear model and normality based normalization and
        transformation method (Linnorm)
Version: 2.36.0
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
Config/pak/sysreqs: libglpk-dev libxml2-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2026-04-28 12:43:13 UTC
RemoteUrl: https://github.com/bioc/Linnorm
RemoteRef: RELEASE_3_23
RemoteSha: 09293ac63029016415616d60d42aaa7515aad925
Packaged: 2026-04-29 23:11:01 UTC; root
Built: R 4.6.0; x86_64-w64-mingw32; 2026-04-29 23:13:06 UTC; windows
Archs: x64
