Paketti: r-bioc-scran (1.32.0+dfsg-1)

[ Source: r-bioc-scran  ]

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.

Muut pakettiin r-bioc-scran liittyvät paketit

• dep: libc6 (>= 2.27) [riscv64]

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

  dep: libc6 (>= 2.29) [ei riscv64]

• dep: libgcc-s1 (>= 3.0) [ei riscv64]

  GCC:n apukirjasto

  dep: libgcc-s1 (>= 3.4) [riscv64]

• dep: liblapack3

  Library of linear algebra routines 3 - shared version

  tai liblapack.so.3

  näennäispaketti, jonka toteuttaa liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• 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-beachmat (>= 2.20.0)

  I/O for several formats storing matrix data

• dep: r-bioc-biocgenerics (>= 0.50.0)

  generic functions for Bioconductor

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

  BioConductor facilities for parallel evaluation

• dep: r-bioc-biocsingular (>= 1.20.0)

  Singular Value Decomposition for Bioconductor Packages

• dep: r-bioc-bluster (>= 1.14.0)

  Clustering Algorithms for Bioconductor

• dep: r-bioc-delayedarray (>= 0.30.1)

  BioConductor delayed operations on array-like objects

• dep: r-bioc-delayedmatrixstats (>= 1.26.0)

  Functions on Rows and Columns of 'DelayedMatrix' Objects

• dep: r-bioc-edger (>= 4.2.0)

  Empirical analysis of digital gene expression data in R

• dep: r-bioc-limma (>= 3.60.3)

  linear models for microarray data

• dep: r-bioc-metapod (>= 1.12.0)

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

• dep: r-bioc-s4vectors (>= 0.42.1)

  BioConductor S4 implementation of vectors and lists

• dep: r-bioc-scuttle (>= 1.14.0)

  BioConductor single-cell RNA-Seq analysis utilities

• dep: r-bioc-singlecellexperiment (>= 1.26.0)

  S4 Classes for Single Cell Data

• dep: r-bioc-summarizedexperiment (>= 1.34.0)

  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-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-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

  Paketti ei saatavilla

• 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

Imuroi r-bioc-scran

Imurointi kaikille saataville arkkitehtuureille

Arkkitehtuuri	Paketin koko	Koko asennettuna	Tiedostot
amd64	994.0 kt	1,409.0 kt	[tiedostoluettelo]
arm64	976.7 kt	1,429.0 kt	[tiedostoluettelo]
mips64el	975.2 kt	1,533.0 kt	[tiedostoluettelo]
ppc64el	989.5 kt	1,493.0 kt	[tiedostoluettelo]
riscv64	990.3 kt	1,336.0 kt	[tiedostoluettelo]
s390x	995.2 kt	1,436.0 kt	[tiedostoluettelo]