Package: TargetScore 1.45.0

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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TargetScore.pdf |TargetScore.html
TargetScore/json (API)
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-1.45.0(bioc 3.21)TargetScore-1.44.0(bioc 3.20)

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

mirna

4.00 score 9 scripts 248 downloads 5 mentions 12 exports 3 dependencies

Last updated 2 months agofrom:d419059879. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 27 2024
R-4.5-winNOTENov 27 2024
R-4.5-linuxNOTENov 27 2024
R-4.4-winNOTENov 27 2024
R-4.4-macNOTENov 27 2024
R-4.3-winNOTENov 27 2024
R-4.3-macNOTENov 27 2024

Exports:bsxfun.sedot.extgetTargetScoresinitializationlogmvgammalogsumexpsort_componentstargetScorevbgmmvboundvexpvmax

Dependencies:latticeMatrixpracma

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

Rendered fromTargetScore.Rnwusingutils::Sweaveon Nov 27 2024.

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