Пакунок: r-bioc-scran (1.30.2+dfsg-1) [debports]

[ Source:  ]

BioConductor methods for single-cell RNA-Seq data analysis

Implements functions for low-level analyses of single-cell RNA-seq data. Methods are provided for normalization of cell-specific biases, assignment of cell cycle phase, detection of highly variable and significantly correlated genes, identification of marker genes, and other common tasks in routine single-cell analysis workflows.

Інші пакунки пов'язані з r-bioc-scran

• dep: libc6 (>= 2.29)

  Бібліотека GNU C: спільні бібліотеки
  also a virtual package provided by libc6-udeb

• dep: libgcc-s4 (>= 4.1.1)

  Допоміжна бібліотека GCC

• dep: liblapack3

  Бібліотека підпрограм лінійної алгебри вер. 3 — колективна версія

  or liblapack.so.3

  virtual package provided by libatlas3-base, liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libstdc++6 (>= 13.1)

  Стандартна бібліотека C++ GNU, версії 3

• dep: r-api-4.0

  virtual package provided by r-base-core

• dep: r-api-bioc-3.18

  Пакунок недоступний

• dep: r-bioc-beachmat

  I/O for several formats storing matrix data

• dep: r-bioc-biocgenerics

  generic functions for Bioconductor

• dep: r-bioc-biocparallel

  BioConductor facilities for parallel evaluation

• dep: r-bioc-biocsingular

  Singular Value Decomposition for Bioconductor Packages

• dep: r-bioc-bluster

  Clustering Algorithms for Bioconductor

• dep: r-bioc-delayedarray

  BioConductor delayed operations on array-like objects

• dep: r-bioc-delayedmatrixstats

  Functions on Rows and Columns of 'DelayedMatrix' Objects

• dep: r-bioc-edger

  Empirical analysis of digital gene expression data in R

• dep: r-bioc-limma

  linear models for microarray data

• dep: r-bioc-metapod

  GNU R meta-analyses on P-Values of differential analyses

• dep: r-bioc-s4vectors

  BioConductor S4 implementation of vectors and lists

• dep: r-bioc-scuttle

  BioConductor single-cell RNA-Seq analysis utilities

• dep: r-bioc-singlecellexperiment

  S4 Classes for Single Cell Data

• dep: r-bioc-summarizedexperiment

  BioConductor assay container

• dep: r-cran-bh

  (Virtual) GNU R package to provide BH

• dep: r-cran-dqrng

  GNU R fast pseudo random number generators

• 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

• dep: r-cran-statmod

  GNU R package providing algorithms and functions for statistical modeling

• sug: r-bioc-biobase

  base functions for Bioconductor

• sug: r-bioc-biocstyle

  standard styles for vignettes and other Bioconductor documents

• sug: r-bioc-deseq2

  R package for RNA-Seq Differential Expression Analysis

• sug: r-bioc-hdf5array

  HDF5 backend for DelayedArray objects

• sug: r-bioc-monocle

  clustering, differential expression, and trajectory analysis for RNA-Seq

• sug: r-bioc-residualmatrix

  Creating a DelayedMatrix of Regression Residuals

• sug: r-bioc-scaledmatrix

  creating a DelayedMatrix of scaled and centered values using GNU R

• sug: r-bioc-scater

  Single-Cell Analysis Toolkit for Gene Expression Data in R

• sug: r-bioc-scrnaseq

  Collection of Public Single-Cell RNA-Seq Datasets

• sug: r-cran-dynamictreecut

  Methods for Detection of Clusters in Hierarchical Clustering

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• 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

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Архітектура	Розмір пакунка	Розмір після встановлення	Файли
hppa (unofficial port)	968.1 kB	1,429.0 kB	[список файлів]