Пакет: r-bioc-scran (1.26.2+dfsg-1)

Връзки за r-bioc-scran

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Изтегляне на пакет-източник r-bioc-scran.

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Външни препратки:

Начална страница [bioconductor.org]

Подобни пакети:

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.

Други пакети, свързани с r-bioc-scran

зависимости

препоръчани

предложени

enhances

dep: libc6 (>= 2.29)

GNU C Library: Shared libraries
също и виртуален пакет, предлаган от libc6-udeb
dep: libgcc-s1 (>= 3.5)

GCC support library
dep: liblapack3

Library of linear algebra routines 3 - shared version

или liblapack.so.3

виртуален пакет, предлаган от libatlas3-base, liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
dep: libstdc++6 (>= 11)

GNU Standard C++ Library v3
dep: r-api-4.0

виртуален пакет, предлаган от r-base-core
dep: r-api-bioc-3.16

виртуален пакет, предлаган от r-bioc-biocgenerics
dep: r-base-core (>= 4.2.2.20221110-2)

GNU R core of statistical computation and graphics system
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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Архитектура	Големина на пакета	Големина след инсталиране	Файлове
armel	949,7 кБ	1 317,0 кБ	[списък на файловете]