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nempi

Inferring unobserved perturbations from gene expression data

Bioconductor version: 3.24 · Package version: 1.21.0

Takes as input an incomplete perturbation profile and differential gene expression in log odds and infers unobserved perturbations and augments observed ones. The inference is done by iteratively inferring a network from the perturbations and inferring perturbations from the network. The network inference is done by Nested Effects Models.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("nempi")

Details

MaintainerMartin Pirkl <martinpirkl@yahoo.de>
AuthorMartin Pirkl [aut, cre]
LicenseGPL-3
URLhttps://github.com/cbg-ethz/nempi/
Bug Reportshttps://github.com/cbg-ethz/nempi/issues
Downloads rank375
Source branchdevel
biocViewsATACSeq, CRISPR, Classification, DNASeq, DifferentialExpression, DifferentialMethylation, GeneExpression, GeneSignaling, Network, NetworkInference, NeuralNetwork, Pathways, PooledScreens, RNASeq, SingleCell, Software, SystemsBiology

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagenempi_1.21.0.tar.gz
Windows binary (x86_64)nempi_1.21.0.zip
macOS binary (arm64)nempi_1.21.0.tgz
macOS binary (x86_64)nempi_1.21.0.tgz
Dependencies

Depends: R (>= 4.1), mnem

Imports: e1071, nnet, randomForest, naturalsort, graphics, stats, utils, matrixStats, epiNEM

Suggests: knitr, BiocGenerics, rmarkdown, RUnit, BiocStyle