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

Odnośniki dla r-bioc-monocle

Zasoby systemu Debian:

Pobieranie pakietu źródłowego r-bioc-monocle:

Opiekunowie:

Zasoby zewnętrzne:

Strona internetowa [bioconductor.org]

Podobne pakiety:

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

wymaga

poleca

sugeruje

enhances

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

GNU R package to create pretty heatmaps
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]