nempi
Inferring unobserved perturbations from gene expression data
Bioconductor version: 3.23 · Package version: 1.20.0
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
| Maintainer | Martin Pirkl <martinpirkl@yahoo.de> |
| Author | Martin Pirkl [aut, cre] |
| License | GPL-3 |
| URL | https://github.com/cbg-ethz/nempi/ |
| Bug Reports | https://github.com/cbg-ethz/nempi/issues |
| Downloads rank | 246 |
| Source branch | RELEASE_3_23 |
| biocViews | ATACSeq, CRISPR, Classification, DNASeq, DifferentialExpression, DifferentialMethylation, GeneExpression, GeneSignaling, Network, NetworkInference, NeuralNetwork, Pathways, PooledScreens, RNASeq, SingleCell, Software, SystemsBiology |
Documentation
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Dependencies
Depends: R (>= 4.1), mnem
Imports: e1071, nnet, randomForest, naturalsort, graphics, stats, utils, matrixStats, epiNEM
Suggests: knitr, BiocGenerics, rmarkdown, RUnit, BiocStyle