套件:r-bioc-limma(3.62.1+dfsg-1)
r-bioc-limma 的相關連結
Debian 的資源:
下載原始碼套件 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]
維護小組:
- Debian R Packages Maintainers (QA 頁面)
- Andreas Tille (QA 頁面)
- Kevin Murray (QA 頁面)
- Steffen Moeller (QA 頁面)
外部的資源:
- 主頁 [bioconductor.org]
相似套件:
試製(Experimental)套件
警告:這個套件來自於 experimental 發行版。這表示它很有可能表現出不穩定或者出現 bug ,甚至是導致資料損失。請務必在使用之前查閱 changelog 以及其他潛在的文件。
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.
其他與 r-bioc-limma 有關的套件
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- dep: libc6 (>= 2.17) [arm64, ppc64el]
- GNU C 函式庫:共用函式庫
同時作為一個虛擬套件由這些套件填實: libc6-udeb
- dep: libc6 (>= 2.27) [riscv64]
- dep: libc6 (>= 2.4) [除 arm64, ppc64el, riscv64]
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- dep: r-api-4.0
- 套件暫時不可用
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- dep: r-api-bioc-3.20
- 本虛擬套件由這些套件填實: r-bioc-biocgenerics
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- dep: r-cran-statmod
- GNU R package providing algorithms and functions for statistical modeling
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- sug: r-bioc-affy
- BioConductor methods for Affymetrix Oligonucleotide Arrays
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- sug: r-bioc-annotationdbi
- GNU R Annotation Database Interface for BioConductor
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- sug: r-bioc-biobase
- base functions for Bioconductor
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- sug: r-bioc-biocstyle
- standard styles for vignettes and other Bioconductor documents
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- sug: r-bioc-go.db
- annotation maps describing the entire Gene Ontology
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- sug: r-bioc-org.hs.eg.db
- genome-wide annotation for Human
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- sug: r-cran-biasedurn
- GNU R Biased Urn model distributions
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- sug: r-cran-ellipse
- GNU R functions for drawing ellipses and ellipse-like confidence regions
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- sug: r-cran-gplots
- GNU R package with tools for plotting data by Greg Warnes et al
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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
- GNU R local regression, likelihood and density estimation
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- sug: r-cran-mass
- GNU R package of Venables and Ripley's MASS
下載 r-bioc-limma
硬體架構 | 套件大小 | 安裝後大小 | 檔案 |
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amd64 | 1,974。6 kB | 2,777。0 kB | [檔案列表] |
arm64 | 1,974。0 kB | 2,821。0 kB | [檔案列表] |
mips64el | 1,974。7 kB | 2,821。0 kB | [檔案列表] |
ppc64 (非官方移植版) | 1,975。2 kB | 2,819。0 kB | [檔案列表] |
ppc64el | 1,975。7 kB | 2,821。0 kB | [檔案列表] |
riscv64 | 1,974。4 kB | 2,769。0 kB | [檔案列表] |
s390x | 1,975。0 kB | 2,773。0 kB | [檔案列表] |
sparc64 (非官方移植版) | 1,973。8 kB | 3,782。0 kB | [檔案列表] |