r-bioc-limma 3.42.0+dfsg-1 source package in Ubuntu

Changelog

r-bioc-limma (3.42.0+dfsg-1) unstable; urgency=medium

  * Team upload.
  * New upstream version
  * Fixed debian/watch for BioConductor
  * Standards-Version: 4.4.1

 -- Dylan Aïssi <email address hidden>  Sun, 10 Nov 2019 17:03:32 +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

Downloads

File Size SHA-256 Checksum
r-bioc-limma_3.42.0+dfsg-1.dsc 2.1 KiB 4b02872aa754ed07dc0d3aa1afe8cb5a53359c8b08c804d3bc9e1aac3b175b39
r-bioc-limma_3.42.0+dfsg.orig.tar.xz 311.9 KiB fe4c53c2ac9d07371a60c6fc962173fc6cd6816a9f7befc741477d8e1bdde75a
r-bioc-limma_3.42.0+dfsg-1.debian.tar.xz 6.8 KiB e71876f373a3a51f70c4121796ae6b79f03d76221829bf322895ba785a4545ac

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