[ 原始碼： r-bioc-bluster ]
套件：r-bioc-bluster（1.0.0+dfsg-2）
r-bioc-bluster 的相關連結
Debian 的資源：
下載原始碼套件 r-bioc-bluster：
- [r-bioc-bluster_1.0.0+dfsg-2.dsc]
- [r-bioc-bluster_1.0.0+dfsg.orig.tar.xz]
- [r-bioc-bluster_1.0.0+dfsg-2.debian.tar.xz]
維護小組：
外部的資源：
- 主頁 [bioconductor.org]
相似套件：
Clustering Algorithms for Bioconductor
Wraps common clustering algorithms in an easily extended S4 framework. Backends are implemented for hierarchical, k-means and graph-based clustering. Several utilities are also provided to compare and evaluate clustering results.
其他與 r-bioc-bluster 有關的套件
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- dep: libc6 (>= 2.4)
- 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
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- dep: libgcc-s1 (>= 3.0)
- GCC 支援函式庫
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- dep: libstdc++6 (>= 5.2)
- GNU Standard C++ Library v3
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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-3.12
- 本虛擬套件由這些套件填實： r-bioc-biocgenerics
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- dep: r-base-core (>= 4.0.3-1)
- GNU R core of statistical computation and graphics system
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- dep: r-bioc-biocneighbors
- Nearest Neighbor Detection for Bioconductor Packages
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- dep: r-bioc-biocparallel
- BioConductor facilities for parallel evaluation
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- dep: r-bioc-s4vectors
- BioConductor S4 implementation of vectors and lists
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- dep: r-cran-igraph
- GNU R network analysis and visualization
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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-rcpp
- GNU R package for Seamless R and C++ Integration
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- rec: r-cran-dynamictreecut
- Methods for Detection of Clusters in Hierarchical Clustering
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- rec: r-cran-testthat
- GNU R testsuite
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- sug: r-bioc-biocstyle
- standard styles for vignettes and other Bioconductor documents
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- sug: r-bioc-scater
- Single-Cell Analysis Toolkit for Gene Expression Data in R
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- sug: r-bioc-scran
- BioConductor methods for single-cell RNA-Seq data analysis
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- sug: r-bioc-scuttle
- BioConductor single-cell RNA-Seq analysis utilities
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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-pheatmap
- GNU R package to create pretty heatmaps
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- sug: r-cran-rmarkdown
- convert R markdown documents into a variety of formats
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- sug: r-cran-viridis
- GNU R package for color maps from matplotlib