Package: TargetScore 1.43.0

Yue Li

TargetScore: TargetScore: Infer microRNA targets using microRNA-overexpression data and sequence information

Infer the posterior distributions of microRNA targets by probabilistically modelling the likelihood microRNA-overexpression fold-changes and sequence-based scores. Variaitonal Bayesian Gaussian mixture model (VB-GMM) is applied to log fold-changes and sequence scores to obtain the posteriors of latent variable being the miRNA targets. The final targetScore is computed as the sigmoid-transformed fold-change weighted by the averaged posteriors of target components over all of the features.

Authors:Yue Li

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NEWS

# Install 'TargetScore' in R:
install.packages('TargetScore', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On BioConductor:TargetScore-1.43.0(bioc 3.20)TargetScore-1.42.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

12 exports 1.85 score 3 dependencies 5 mentions

Last updated 2 months agofrom:ca32e071c8

Exports:bsxfun.sedot.extgetTargetScoresinitializationlogmvgammalogsumexpsort_componentstargetScorevbgmmvboundvexpvmax

Dependencies:latticeMatrixpracma

TargetScore: Infer microRNA targets using microRNA-overexpression data and sequence information

Rendered fromTargetScore.Rnwusingutils::Sweaveon Jul 03 2024.

Last update: 2013-11-01
Started: 2013-11-01