Paketti: r-bioc-bluster (1.14.0+dfsg-1) [debports]

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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.

Muut pakettiin r-bioc-bluster liittyvät paketit

• dep: libc6 (>= 2.11)

  GNU-C-kirjasto: jaetut kirjastot
  myös näennäispaketti, jonka toteuttaa libc6-udeb

• dep: libgcc-s1 (>= 3.0)

  GCC:n apukirjasto

• dep: libstdc++6 (>= 14)

  GNU standardi C++ -kirjasto, versio 3

• dep: r-api-4.0

  näennäispaketti, jonka toteuttaa r-base-core

• dep: r-api-bioc-3.19

  näennäispaketti, jonka toteuttaa r-bioc-biocgenerics

• dep: r-bioc-biocneighbors (>= 1.22.0)

  Nearest Neighbor Detection for Bioconductor Packages

• dep: r-bioc-biocparallel (>= 1.38.0)

  BioConductor facilities for parallel evaluation

• dep: r-bioc-s4vectors (>= 0.42.1)

  BioConductor S4 implementation of vectors and lists

• dep: r-cran-cluster

  GNU R package for cluster analysis by Rousseeuw et al

• dep: r-cran-igraph

  GNU R network analysis and visualization

• dep: r-cran-matrix

  GNU R package of classes for dense and sparse matrices

• dep: r-cran-rcpp

  GNU R package for Seamless R and C++ Integration

• sug: r-bioc-biocstyle (>= 2.32.1)

  standard styles for vignettes and other Bioconductor documents

• sug: r-bioc-dirichletmultinomial (>= 1.46.0)

  Dirichlet-Multinomial Mixture Model Machine Learning for Microbiome Data

• sug: r-bioc-scater (>= 1.32)

  Single-Cell Analysis Toolkit for Gene Expression Data in R

• sug: r-bioc-scran (>= 1.32.0)

  BioConductor methods for single-cell RNA-Seq data analysis

• sug: r-bioc-scrnaseq (>= 2.18.0)

  Collection of Public Single-Cell RNA-Seq Datasets

• sug: r-bioc-scuttle (>= 1.14.0)

  BioConductor single-cell RNA-Seq analysis utilities

• sug: r-cran-apcluster

  Affinity Propagation Clustering

• sug: r-cran-dynamictreecut

  Methods for Detection of Clusters in Hierarchical Clustering

• sug: r-cran-fastcluster

  Fast hierarchical clustering routines for GNU R

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-kohonen

  GNU R supervised and unsupervised self-organising maps

• sug: r-cran-pheatmap

  GNU R package to create pretty heatmaps

• sug: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• sug: r-cran-testthat

  GNU R testsuite

• sug: r-cran-vegan

  Community Ecology Package for R

• sug: r-cran-viridis

  GNU R package for color maps from matplotlib

Imuroi r-bioc-bluster

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