Balík: r-bioc-scran (1.32.0+dfsg-1) [debports]

[ Zdroj:  ]

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.

Ostatné balíky súvisiace s balíkom r-bioc-scran

• dep: libblas3

  referenčné implementácie základnej lineárnej algebry - zdieľaná knižnica

  alebo libblas.so.3

  virtuálny balík poskytovaný balíkom libatlas3-base, libblas3, libblis4-openmp, libblis4-pthread, libblis4-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libc6 (>= 2.29)

  knižnica GNU C - zdieľané knižnice
  tiež virtuálny balík poskytovaný balíkom libc6-udeb

• dep: libgcc-s1 (>= 3.4)

  podporná knižnica GCC

• dep: libgfortran5 (>= 8)

  zdieľaná knižnica pre aplikácie GNU Fortran

• dep: liblapack3

  knižnica rutín lineárnej algebry, verzia 3 - zdieľaná knižnica

  alebo liblapack.so.3

  virtuálny balík poskytovaný balíkom libatlas3-base, liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial

• dep: libstdc++6 (>= 14)

  štandardná knižnica C++ GNU v3

• dep: r-api-4.0

  virtuálny balík poskytovaný balíkom r-base-core

• dep: r-api-bioc-3.19

  virtuálny balík poskytovaný balíkom 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

  balík tried GNU R pre husté a riedke matice

• dep: r-cran-rcpp

  balík GNU R na hladkú integráciu R a C++

• 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

  Collection of Public Single-Cell RNA-Seq Datasets

• sug: r-cran-dynamictreecut

  Methods for Detection of Clusters in Hierarchical Clustering

• sug: r-cran-knitr

  balík GNU R na dynamickú tvorbu zostáv pomocou 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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Architektúra	Veľkosť balíka	Nainštalovaná veľkosť	Súbory
sparc64 (neoficiálny port)	969.0 kB	2,076.0 kB	[zoznam súborov]