Pakiet: r-bioc-monocle (2.18.0-1)

[ Pakiet źródłowy: r-bioc-monocle  ]

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

Monocle performs differential expression and time-series analysis for single-cell expression experiments. It orders individual cells according to progress through a biological process, without knowing ahead of time which genes define progress through that process. Monocle also performs differential expression analysis, clustering, visualization, and other useful tasks on single cell expression data. It is designed to work with RNA-Seq and qPCR data, but could be used with other types as well.

Inne pakiety związane z r-bioc-monocle

• dep: libc6 (>= 2.14) [amd64]

  Biblioteka GNU C: biblioteki współdzielone
  również pakiet wirtualny udostępniany przez libc6-udeb

  dep: libc6 (>= 2.17) [arm64, ppc64el]

  dep: libc6 (>= 2.4) [nie amd64, arm64, ppc64el]

• dep: libgcc-s1 (>= 3.0) [nie armel, armhf]

  Biblioteka wspomagająca GCC

  dep: libgcc-s1 (>= 3.5) [armel, armhf]

• dep: libstdc++6 (>= 5.2)

  Standardowa biblioteka GNU C++, wersja 3

• dep: r-api-4.0

  pakiet wirtualny udostępniany przez r-base-core

• dep: r-api-bioc-3.12

  pakiet wirtualny udostępniany przez r-bioc-biocgenerics

• dep: r-base-core (>= 4.0.3-1)

  GNU R core of statistical computation and graphics system

• dep: r-bioc-biobase

  base functions for Bioconductor

• dep: r-bioc-biocgenerics

  generic functions for Bioconductor

• dep: r-bioc-biocviews

  Categorized views of R package repositories

• dep: r-bioc-hsmmsinglecell (>= 0.101.5)

  Single-cell RNA-Seq for differentiating human skeletal muscle myoblasts

• dep: r-bioc-limma

  linear models for microarray data

• dep: r-cran-cluster

  GNU R package for cluster analysis by Rousseeuw et al

• dep: r-cran-combinat

  GNU R package with utilities for combinatorics

• dep: r-cran-ddrtree (>= 0.1.4)

  GNU R learning principal graphs with DDRTree

• dep: r-cran-densityclust (>= 0.3)

  GNU R clustering by fast search and find of density peaks

• dep: r-cran-dplyr

  GNU R grammar of data manipulation

• dep: r-cran-fastica

  GNU R package for ICA and Projection Pursuit

• dep: r-cran-ggplot2 (>= 1.0.0)

  implementation of the Grammar of Graphics

• dep: r-cran-igraph (>= 1.0.1)

  GNU R network analysis and visualization

• dep: r-cran-irlba (>= 2.0.0)

  GNU R fast truncated SVD, PCA and symmetric eigendecomposition

• dep: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• dep: r-cran-matrix (>= 1.2-6)

  GNU R package of classes for dense and sparse matrices

• dep: r-cran-matrixstats

  GNU R methods that apply to rows and columns of a matrix

• dep: r-cran-pheatmap

  Pakiet GNU R do tworzenia ładnych map cieplnych

• dep: r-cran-plyr

  tools for splitting, applying and combining data

• dep: r-cran-proxy

  GNU R distance and similarity measures

• dep: r-cran-qlcmatrix

  GNU R utility sparse matrix functions for quantitative language

• dep: r-cran-rann (>= 2.5)

  Fast Nearest Neighbour Search Using L2 Metric

• dep: r-cran-rcpp (>= 0.12.0)

  GNU R package for Seamless R and C++ Integration

• dep: r-cran-reshape2

  Flexibly reshape data: a reboot of the reshape package

• dep: r-cran-rtsne

  GNU R T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut

• dep: r-cran-slam

  GNU R sparse lighweight arrays and matrices package

• dep: r-cran-stringr

  Make it easier to work with strings

• dep: r-cran-tibble

  GNU R Simple Data Frames

• dep: r-cran-vgam (>= 1.0-6)

  GNU R package for estimating vector generalized additive models

• dep: r-cran-viridis

  GNU R package for color maps from matplotlib

• rec: r-cran-testthat

  GNU R testsuite

• sug: r-bioc-destiny

  GNU R diffusion maps

• sug: r-bioc-scater

  Single-Cell Analysis Toolkit for Gene Expression Data in R

• sug: r-cran-hmisc [nie armel]

  GNU R miscellaneous functions by Frank Harrell

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-seurat

  Tools for Single Cell Genomics

Pobieranie r-bioc-monocle

Pobierz dla wszystkich dostępnych architektur

Architektura	Rozmiar pakietu	Rozmiar po instalacji	Pliki
amd64	1 435,6 KiB	1 746,0 KiB	[lista plików]
arm64	1 433,2 KiB	1 739,0 KiB	[lista plików]
armel	1 432,1 KiB	1 729,0 KiB	[lista plików]
armhf	1 431,7 KiB	1 713,0 KiB	[lista plików]
i386	1 436,6 KiB	1 735,0 KiB	[lista plików]
mips64el	1 433,6 KiB	1 751,0 KiB	[lista plików]
mipsel	1 434,4 KiB	1 740,0 KiB	[lista plików]
ppc64el	1 437,3 KiB	1 790,0 KiB	[lista plików]
s390x	1 433,5 KiB	1 742,0 KiB	[lista plików]