Ubuntu
r-bioc-limma package

r-bioc-limma 3.52.2+dfsg-1 source package in Ubuntu

Changelog

r-bioc-limma (3.52.2+dfsg-1) unstable; urgency=medium

  * New upstream version

 -- Andreas Tille <email address hidden>  Thu, 23 Jun 2022 10:43:45 +0200

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_3.52.2+dfsg-1.dsc 2.1 KiB ce68a15aa436dd8ba5d21a6e9b172a1aa0f9735f0ee22f4a5115face9ce451c0
r-bioc-limma_3.52.2+dfsg.orig.tar.xz 308.3 KiB 486398a4ec3484189d420500ece28e1fde77841e4f0f4a1dc8e2c52f86267cb7
r-bioc-limma_3.52.2+dfsg-1.debian.tar.xz 5.7 KiB 6eb279a0218e110dc1253230181ea92785c72a07663cee5cc2fca282566cbe8f

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