Package: Linnorm Type: Package Title: Linear model and normality based normalization and transformation method (Linnorm) Version: 2.37.0 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 Maintainer: Shun Hang Yip 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.r-universe.dev Date/Publication: 2026-04-28 12:43:13 UTC RemoteUrl: https://github.com/bioc/Linnorm RemoteRef: HEAD RemoteSha: 88a48852375252dde8f5628a481898f0fa1cfdcb Packaged: 2026-06-23 15:44:57 UTC; root