Ubuntu
r-bioc-limma package

r-bioc-limma 3.54.1+dfsg-1 source package in Ubuntu

Changelog

r-bioc-limma (3.54.1+dfsg-1) unstable; urgency=medium

  * New upstream version
  * Standards-Version: 4.6.2 (routine-update)
  * Reduce piuparts noise in transitions (routine-update)

 -- Andreas Tille <email address hidden>  Wed, 01 Feb 2023 11:29:31 +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
Lunar release universe gnu-r

Downloads

File Size SHA-256 Checksum
r-bioc-limma_3.54.1+dfsg-1.dsc 2.1 KiB 83e9ee50966ae73492e0e6fcdcd88067b49849ad403c903cd114ac8319795b5f
r-bioc-limma_3.54.1+dfsg.orig.tar.xz 309.9 KiB 7ff7182e824610a9106797e7f0ef2b4addb342f532cce9004c6f152b1caddadc
r-bioc-limma_3.54.1+dfsg-1.debian.tar.xz 5.8 KiB 4965d8d5fb3812e0aa82554d3be8ff876b66a257d634754a152ca0beb2345e99

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