Ubuntu
r-bioc-limma package

r-bioc-limma 3.58.1+dfsg-1 source package in Ubuntu

Changelog

r-bioc-limma (3.58.1+dfsg-1) unstable; urgency=medium

  * New upstream version
  * dh-update-R to update Build-Depends (routine-update)

 -- Andreas Tille <email address hidden>  Wed, 29 Nov 2023 21:04:33 +0100

Upload details

Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
any
Section:
gnu-r
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe gnu-r
Noble release universe gnu-r

Downloads

File Size SHA-256 Checksum
r-bioc-limma_3.58.1+dfsg-1.dsc 2.1 KiB cf655b465aa76b915b933942f4f2363c526565f615645b1b57af08b3125b524d
r-bioc-limma_3.58.1+dfsg.orig.tar.xz 1.5 MiB e70271dcad025e9093a004eb53e9a3f96893ade8de9a547871c7cae5a62b1598
r-bioc-limma_3.58.1+dfsg-1.debian.tar.xz 5.9 KiB 8e2792c8d62d58b23f9cfd1ba1d381ee7e4bb347348524b7cb40b35b2e72c728

Available diffs

No changes file available.

Binary packages built by this source

r-bioc-limma: 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.

r-bioc-limma-dbgsym: debug symbols for r-bioc-limma