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bioc
baySeq:Empirical Bayesian analysis of patterns of differential expression in count data
This package identifies differential expression in high-throughput 'count' data, such as that derived from next-generation sequencing machines, calculating estimated posterior likelihoods of differential expression (or more complex hypotheses) via empirical Bayesian methods.
Maintained by Samuel Granjeaud. Last updated 5 months ago.
sequencingdifferentialexpressionmultiplecomparisonsagebayesiancoverage
7.75 score 79 scripts 3 dependentsbioc
GRENITS:Gene Regulatory Network Inference Using Time Series
The package offers four network inference statistical models using Dynamic Bayesian Networks and Gibbs Variable Selection: a linear interaction model, two linear interaction models with added experimental noise (Gaussian and Student distributed) for the case where replicates are available and a non-linear interaction model.
Maintained by Edward Morrissey. Last updated 5 months ago.
networkinferencegeneregulationtimecoursegraphandnetworkgeneexpressionnetworkbayesianopenblascpp
4.20 score 2 scripts