Paketti: r-bioc-limma (3.58.1+dfsg-1) [debports]

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linear models for microarray data

Microarrays are microscopic plates with carefully arranged short DNA strands and/or chemically prepared surfaces to which other DNA preferably binds. The amount of DNA binding at different locations of these chips, typically determined by a fluorescent dye, is to be interpreted. The technology is typically used with DNA that is derived from RNA, i.e to determine the activity of a gene and/or its splice variants. But the technology is also used to determine sequence variations in genomic DNA.

This Bioconductor package supports the analysis of gene expression microarray data, especially the use of linear models for analysing designed experiments and the assessment of differential expression. The package includes pre-processing capabilities for two-colour spotted arrays. The differential expression methods apply to all array platforms and treat Affymetrix, single channel and two channel experiments in a unified way.

Muut pakettiin r-bioc-limma liittyvät paketit

• dep: r-api-4.0

  näennäispaketti, jonka toteuttaa r-base-core

• dep: r-api-bioc-3.18

  Paketti ei saatavilla

• dep: r-cran-statmod

  GNU R package providing algorithms and functions for statistical modeling

• sug: r-bioc-affy

  BioConductor methods for Affymetrix Oligonucleotide Arrays

• sug: r-bioc-annotationdbi

  GNU R Annotation Database Interface for BioConductor

• sug: r-bioc-biobase

  base functions for Bioconductor

• sug: r-bioc-biocstyle

  standard styles for vignettes and other Bioconductor documents

• sug: r-bioc-go.db

  annotation maps describing the entire Gene Ontology

• sug: r-bioc-org.hs.eg.db

  genome-wide annotation for Human

• sug: r-cran-biasedurn

  GNU R Biased Urn model distributions

• sug: r-cran-ellipse

  GNU R functions for drawing ellipses and ellipse-like confidence regions

• sug: r-cran-gplots

  GNU R package with tools for plotting data by Greg Warnes et al

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-locfit

  GNU R local regression, likelihood and density estimation

• sug: r-cran-mass

  GNU R package of Venables and Ripley's MASS

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