iBMQ-package: iBMQ : An Integrated Hierarchical Bayesian Model for...
In iBMQ: integrated Bayesian Modeling of eQTL data
Description
This method is designed to detect expression QTLs (eQTLs) by incorporating genotypic and gene expression data into a single model while 1) specifically coping with the high dimensionality of eQTL data (large number of genes), 2) borrowing strength from all gene expression data for the mapping procedures, and 3) controlling the number of false positives to a desirable level.
iBMQ documentation built on Nov. 8, 2020, 11:04 p.m.
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Description
This method is designed to detect expression QTLs (eQTLs) by incorporating genotypic and gene expression data into a single model while 1) specifically coping with the high dimensionality of eQTL data (large number of genes), 2) borrowing strength from all gene expression data for the mapping procedures, and 3) controlling the number of false positives to a desirable level.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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