Pakiet: r-bioc-metagenomeseq (1.40.0-1)

[ Pakiet źródłowy: r-bioc-metagenomeseq  ]

GNU R statistical analysis for sparse high-throughput sequencing

MetagenomeSeq is designed to determine features (be it Operational Taxanomic Unit (OTU), species, etc.) that are differentially abundant between two or more groups of multiple samples. metagenomeSeq is designed to address the effects of both normalization and under-sampling of microbial communities on disease association detection and the testing of feature correlations.

Inne pakiety związane z r-bioc-metagenomeseq

• dep: r-api-4.0

  pakiet wirtualny udostępniany przez r-base-core

• dep: r-api-bioc-3.16

  pakiet wirtualny udostępniany przez r-bioc-biocgenerics

• dep: r-base-core (>= 4.2.2.20221110-1)

  GNU R core of statistical computation and graphics system

• dep: r-bioc-biobase

  base functions for Bioconductor

• dep: r-bioc-limma

  linear models for microarray data

• dep: r-bioc-wrench

  GNU R wrench normalization for sparse count data

• dep: r-cran-foreach

  GNU R foreach looping support

• dep: r-cran-glmnet

  Lasso and Elastic-Net Regularized Generalized Linear Models

• dep: r-cran-gplots

  Pakiet GNU R z narzędziami do tworzenia wykresów danych autorstwa Grega Warnesa i innych

• dep: r-cran-matrix

  GNU R package of classes for dense and sparse matrices

• dep: r-cran-matrixstats

  GNU R methods that apply to rows and columns of a matrix

• dep: r-cran-rcolorbrewer

  GNU R package providing suitable color palettes

• sug: r-bioc-annotate

  BioConductor annotation for microarrays

• sug: r-bioc-biocgenerics

  generic functions for Bioconductor

• sug: r-bioc-biomformat

  GNU R interface package for the BIOM file format

• sug: r-bioc-ihw

  GNU R independent hypothesis weighting

• sug: r-cran-gss

  GNU R package for multivariate estimation using smoothing splines

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-testthat (>= 0.8)

  GNU R testsuite

• sug: r-cran-vegan

  Community Ecology Package for R

Pobieranie r-bioc-metagenomeseq

Pobierz dla wszystkich dostępnych architektur

Architektura	Rozmiar pakietu	Rozmiar po instalacji	Pliki
all	2 058,1 KiB	2 600,0 KiB	[lista plików]