Paketti: r-bioc-mofa2 (1.16.0+ds-2)
Links for r-bioc-mofa2
Debian-palvelut:
Imuroi lähdekoodipaketti r-bioc-mofa2:
- [r-bioc-mofa2_1.16.0+ds-2.dsc]
- [r-bioc-mofa2_1.16.0+ds.orig.tar.xz]
- [r-bioc-mofa2_1.16.0+ds-2.debian.tar.xz]
Ylläpitäjät:
External Resources:
- Kotisivu [bioconductor.org]
Samankaltaisia paketteja:
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.
Muut pakettiin r-bioc-mofa2 liittyvät paketit
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- dep: r-api-4.0
- näennäispaketti, jonka toteuttaa r-base-core
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- dep: r-api-bioc-3.20
- näennäispaketti, jonka toteuttaa r-bioc-biocgenerics
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- dep: r-bioc-delayedarray
- BioConductor delayed operations on array-like objects
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- dep: r-bioc-hdf5array
- HDF5 backend for DelayedArray objects
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- dep: r-bioc-rhdf5
- BioConductor HDF5 interface to R
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- dep: r-cran-corrplot
- Visualization of a Correlation Matrix
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- dep: r-cran-cowplot
- GNU R streamlined plot theme and plot annotations for 'ggplot2'
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- dep: r-cran-dplyr
- GNU R grammar of data manipulation
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- dep: r-cran-forcats
- GNU R package for working with categorical variables (factors)
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- dep: r-cran-ggplot2
- implementation of the Grammar of Graphics
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- dep: r-cran-ggrepel
- auto-position non-overlapping text labels in plots
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- dep: r-cran-magrittr
- GNU R forward-pipe operator
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- dep: r-cran-pheatmap
- GNU R package to create pretty heatmaps
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- dep: r-cran-rcolorbrewer
- GNU R package providing suitable color palettes
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- dep: r-cran-reshape2
- Flexibly reshape data: a reboot of the reshape package
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- dep: r-cran-reticulate
- R interface to Python modules, classes, and functions
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- dep: r-cran-rtsne
- GNU R T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut
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- dep: r-cran-stringi
- GNU R character string processing facilities
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- dep: r-cran-tidyr
- GNU R package to easily tidy data
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- dep: r-cran-uwot
- GNU R uniform manifold approximation and projection (UMAP)
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- sug: r-bioc-basilisk
- freezing Python dependencies inside Bioconductor packages
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- sug: r-bioc-biocstyle
- standard styles for vignettes and other Bioconductor documents
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- sug: r-bioc-multiassayexperiment
- Software for integrating multi-omics experiments in BioConductor
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- sug: r-bioc-singlecellexperiment
- S4 Classes for Single Cell Data
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- sug: r-bioc-summarizedexperiment
- BioConductor assay container
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- sug: r-cran-data.table
- GNU R extension of Data.frame
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- sug: r-cran-foreach
- GNU R foreach looping support
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- sug: r-cran-ggally
- GNU R extension to r-cran-ggplot2
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- sug: r-cran-ggpubr
- GNU R ggplot2 based publication ready plots
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- sug: r-cran-ggrastr
- Bioconductor rasterize layers for 'ggplot2'
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- sug: r-cran-knitr
- GNU R package for dynamic report generation using Literate Programming
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- sug: r-cran-markdown
- GNU R package providing R bindings to the Sundown Markdown rendering library
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- sug: r-cran-matrix
- GNU R package of classes for dense and sparse matrices
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- sug: r-cran-mvtnorm
- GNU R package to compute multivariate Normal and T distributions
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- sug: r-cran-psych
- GNU R procedures for psychological, psychometric, and personality research
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- sug: r-cran-rmarkdown
- convert R markdown documents into a variety of formats
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- sug: r-cran-seurat
- Tools for Single Cell Genomics
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- sug: r-cran-seuratobject
- GNU R data structures for single cell data
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- sug: r-cran-testthat
- GNU R testsuite
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- sug: r-cran-tidyverse
- Easily Install and Load the 'Tidyverse'
Imuroi r-bioc-mofa2
Arkkitehtuuri | Paketin koko | Koko asennettuna | Tiedostot |
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all | 2,407.4 kt | 3,101.0 kt | [tiedostoluettelo] |