[ 原始碼： r-bioc-metagenomeseq ]
套件：r-bioc-metagenomeseq（1.46.0-1）
r-bioc-metagenomeseq 的相關連結
Debian 的資源：
下載原始碼套件 r-bioc-metagenomeseq：
- [r-bioc-metagenomeseq_1.46.0-1.dsc]
- [r-bioc-metagenomeseq_1.46.0.orig.tar.gz]
- [r-bioc-metagenomeseq_1.46.0-1.debian.tar.xz]
維護小組：
外部的資源：
- 主頁 [bioconductor.org]
相似套件：
GNU R statistical analysis for sparse high-throughput sequencing
MetagenomeSeq is designed to determine features (be it Operational Taxanomic Unit (OTU), species, etc.) that are differentially abundant between two or more groups of multiple samples. metagenomeSeq is designed to address the effects of both normalization and under-sampling of microbial communities on disease association detection and the testing of feature correlations.
其他與 r-bioc-metagenomeseq 有關的套件
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- dep: r-api-4.0
- 本虛擬套件由這些套件填實： r-base-core
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- dep: r-api-bioc-3.19
- 本虛擬套件由這些套件填實： r-bioc-biocgenerics
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- dep: r-bioc-biobase (>= 2.64.0)
- base functions for Bioconductor
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- dep: r-bioc-limma (>= 3.60.4)
- linear models for microarray data
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- dep: r-bioc-wrench (>= 1.22.0)
- GNU R wrench normalization for sparse count data
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- dep: r-cran-foreach
- GNU R foreach looping support
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- dep: r-cran-glmnet
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- dep: r-cran-gplots
- GNU R package with tools for plotting data by Greg Warnes et al
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- dep: r-cran-matrix
- GNU R package of classes for dense and sparse matrices
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- dep: r-cran-matrixstats
- GNU R methods that apply to rows and columns of a matrix
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- dep: r-cran-rcolorbrewer
- GNU R package providing suitable color palettes
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- sug: r-bioc-annotate (>= 1.82.0)
- BioConductor annotation for microarrays
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- sug: r-bioc-biocgenerics (>= 0.50.0)
- generic functions for Bioconductor
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- sug: r-bioc-biomformat (>= 1.32.0)
- GNU R interface package for the BIOM file format
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- sug: r-bioc-ihw (>= 1.32.0)
- GNU R independent hypothesis weighting
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- sug: r-cran-gss
- GNU R package for multivariate estimation using smoothing splines
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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-testthat (>= 0.8)
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- sug: r-cran-vegan
- Community Ecology Package for R