r-bioc-limma 3.46.0+dfsg-1 source package in Ubuntu


r-bioc-limma (3.46.0+dfsg-1) unstable; urgency=medium

  * Team upload.
  * New upstream version

 -- Dylan Aïssi <email address hidden>  Sun, 01 Nov 2020 10:38:28 +0100

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Uploaded by:
Debian R Packages Maintainers on 2020-11-01
Uploaded to:
Original maintainer:
Debian R Packages Maintainers
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Hirsute release on 2021-03-01 universe gnu-r


File Size SHA-256 Checksum
r-bioc-limma_3.46.0+dfsg-1.dsc 2.2 KiB 0ab0cc1d4620da5fc79665c8318d6e74f03441937ece75f36dd10599f037a519
r-bioc-limma_3.46.0+dfsg.orig.tar.xz 319.1 KiB c42cf45899c9e04e0e7d214ad4f65a7f5d008e3f14ef03a8a6b5ef9d9e4db5c5
r-bioc-limma_3.46.0+dfsg-1.debian.tar.xz 5.8 KiB 3cacce014cc9863e45e9007547ce80e0954328aba9ea5def7c0a87e2fdd9e88d

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