r-bioc-limma 3.42.1+dfsg-1 source package in Ubuntu
Changelog
r-bioc-limma (3.42.1+dfsg-1) unstable; urgency=medium
* Team upload.
* New upstream version
* Standards-Version: 4.5.0 (routine-update)
* autopkgtest: s/ADTTMP/AUTOPKGTEST_TMP/g (routine-update)
* Set field Upstream-Name in debian/copyright.
* Remove obsolete field Name from debian/upstream/metadata (already
present in machine-readable debian/copyright).
-- Steffen Moeller <email address hidden> Sun, 02 Feb 2020 21:25:20 +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 | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| r-bioc-limma_3.42.1+dfsg-1.dsc | 2.1 KiB | 712dcab1813373640717ecc43664f2cb161bb50ea9cda30d7899665d139abe8d |
| r-bioc-limma_3.42.1+dfsg.orig.tar.xz | 312.1 KiB | d1c9fb2eea735e6afdda8ec7a2547c64f966d09c8c0bce5aaa022a27fbd8d2bf |
| r-bioc-limma_3.42.1+dfsg-1.debian.tar.xz | 6.9 KiB | 117f6c562747c0f9a7feda15ac12428fdff3b1b30bed406e097a5e431db24fae |
Available diffs
- diff from 3.42.0+dfsg-1 to 3.42.1+dfsg-1 (3.7 KiB)
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
