Пакунок: r-bioc-mofa2 (1.16.0+ds-2)

[ Source: r-bioc-mofa2  ]

Multi-Omics Factor Analysis v2

The MOFA2 package contains a collection of tools for training and analysing multi-omic factor analysis (MOFA). MOFA is a probabilistic factor model that aims to identify principal axes of variation from data sets that can comprise multiple omic layers and/or groups of samples. Additional time or space information on the samples can be incorporated using the MEFISTO framework, which is part of MOFA2. Downstream analysis functions to inspect molecular features underlying each factor, vizualisation, imputation etc are available.

Інші пакунки пов'язані з r-bioc-mofa2

• dep: r-api-4.0

  virtual package provided by r-base-core

• dep: r-api-bioc-3.20

  virtual package provided by r-bioc-biocgenerics

• dep: r-bioc-delayedarray

  BioConductor delayed operations on array-like objects

• dep: r-bioc-hdf5array

  HDF5 backend for DelayedArray objects

• dep: r-bioc-rhdf5

  BioConductor HDF5 interface to R

• dep: r-cran-corrplot

  Visualization of a Correlation Matrix

• dep: r-cran-cowplot

  GNU R streamlined plot theme and plot annotations for 'ggplot2'

• dep: r-cran-dplyr

  GNU R grammar of data manipulation

• dep: r-cran-forcats

  GNU R package for working with categorical variables (factors)

• dep: r-cran-ggplot2

  implementation of the Grammar of Graphics

• dep: r-cran-ggrepel

  auto-position non-overlapping text labels in plots

• dep: r-cran-magrittr

  GNU R forward-pipe operator

• dep: r-cran-pheatmap

  GNU R package to create pretty heatmaps

• dep: r-cran-rcolorbrewer

  GNU R package providing suitable color palettes

• dep: r-cran-reshape2

  Flexibly reshape data: a reboot of the reshape package

• dep: r-cran-reticulate

  R interface to Python modules, classes, and functions

• dep: r-cran-rtsne

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

• dep: r-cran-stringi

  GNU R character string processing facilities

• dep: r-cran-tidyr

  GNU R package to easily tidy data

• dep: r-cran-uwot

  GNU R uniform manifold approximation and projection (UMAP)

• sug: r-bioc-basilisk

  freezing Python dependencies inside Bioconductor packages

• sug: r-bioc-biocstyle

  standard styles for vignettes and other Bioconductor documents

• sug: r-bioc-multiassayexperiment

  Software for integrating multi-omics experiments in BioConductor

• sug: r-bioc-singlecellexperiment

  S4 Classes for Single Cell Data

• sug: r-bioc-summarizedexperiment

  BioConductor assay container

• sug: r-cran-data.table

  GNU R extension of Data.frame

• sug: r-cran-foreach

  GNU R foreach looping support

• sug: r-cran-ggally

  GNU R extension to r-cran-ggplot2

• sug: r-cran-ggpubr

  GNU R ggplot2 based publication ready plots

• sug: r-cran-ggrastr

  Bioconductor rasterize layers for 'ggplot2'

• sug: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• sug: r-cran-markdown

  GNU R package providing R bindings to the Sundown Markdown rendering library

• sug: r-cran-matrix

  GNU R package of classes for dense and sparse matrices

• sug: r-cran-mvtnorm

  GNU R package to compute multivariate Normal and T distributions

• sug: r-cran-psych

  GNU R procedures for psychological, psychometric, and personality research

• sug: r-cran-rmarkdown

  convert R markdown documents into a variety of formats

• sug: r-cran-seurat

  Tools for Single Cell Genomics

• sug: r-cran-seuratobject

  GNU R data structures for single cell data

• sug: r-cran-testthat

  GNU R testsuite

• sug: r-cran-tidyverse

  Easily Install and Load the 'Tidyverse'

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