Paket: r-bioc-mofa2 (1.16.0+ds-3)
Links für r-bioc-mofa2
Debian-Ressourcen:
Quellcode-Paket r-bioc-mofa2 herunterladen:
- [r-bioc-mofa2_1.16.0+ds-3.dsc]
- [r-bioc-mofa2_1.16.0+ds.orig.tar.xz]
- [r-bioc-mofa2_1.16.0+ds-3.debian.tar.xz]
Betreuer:
Externe Ressourcen:
- Homepage [bioconductor.org]
Ähnliche Pakete:
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.
Andere Pakete mit Bezug zu r-bioc-mofa2
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- dep: r-api-4.0
- virtuelles Paket, bereitgestellt durch r-base-core
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- dep: r-api-bioc-3.20
- virtuelles Paket, bereitgestellt durch 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
- Implementierung der »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-Verarbeitungsfunktionen für Strings
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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 - Erweiterung von 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
- Paket zur Anbindung von R an die Markdown-Darstellungsbibliothek Sundown
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- sug: r-cran-matrix
- GNU R - Paket von Klassen für dicht und dünn besetzte Matrizen
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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
- Konvertierung von R-Markdown-Dokumenten in verschiedene Formate
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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'
r-bioc-mofa2 herunterladen
Architektur | Paketgröße | Größe (installiert) | Dateien |
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all | 2.408,0 kB | 3.101,0 kB | [Liste der Dateien] |