Paket: r-bioc-limma (3.62.1+dfsg-1)
Länkar för r-bioc-limma
Debianresurser:
Hämta källkodspaketet r-bioc-limma:
- [r-bioc-limma_3.62.1+dfsg-1.dsc]
- [r-bioc-limma_3.62.1+dfsg.orig.tar.xz]
- [r-bioc-limma_3.62.1+dfsg-1.debian.tar.xz]
Ansvariga:
- Debian R Packages Maintainers (QA-sida)
- Andreas Tille (QA-sida)
- Kevin Murray (QA-sida)
- Steffen Moeller (QA-sida)
Externa resurser:
- Hemsida [bioconductor.org]
Liknande paket:
Experimentellt paket
Varning: Paketet är från den experimentella utgåvan. Det innebär att det med stor sannolikhet är instabilt eller innehåller fel, och kanske till och med kan orsaka dataförluster. Se till att läsa ändringsloggen och annan dokumentation innan du använder det.
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.
Andra paket besläktade med r-bioc-limma
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- dep: r-api-bioc-3.20
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- sug: r-bioc-annotationdbi
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- genome-wide annotation for Human
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- sug: r-cran-ellipse
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- sug: r-cran-knitr
- GNU R package for dynamic report generation using Literate Programming
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- sug: r-cran-locfit
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- sug: r-cran-mass
- GNU R package of Venables and Ripley's MASS
Hämta r-bioc-limma
Arkitektur | Paketstorlek | Installerad storlek | Filer |
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arm64 | 1.974,0 kbyte | 2.821,0 kbyte | [filförteckning] |