omicRexposome: omicRexposome: Package for exposome and omic data associatin...
In omicRexposome: Exposome and omic data associatin and integration analysis
Description
exposome-omic data association study
exposome-omic data integration study
Description
omicRexposome: Package for exposome and omic data associatin and integration
exposome-omic data association study
The packages offers the function association that allows to
perform an association study using transcriptome, methylome, etc. as
dependent variable and exposome data as independent variable. The function relies on
limma pipeline and generates an object of class ResultSet,
that can be ploted using plotAssociation.
exposome-omic data integration study
The packages offers the function crossomics that allows to perform
two types of integration study: Multi Canonical Correlation Analysis and
Multi Co-Inertia Analysis. The function allos to use any type and number of
datasets (aka. exposome transcriptome, methylome, etc.). The function generates an
object of class ResultSet, that can be ploted using
plotIntegration.
omicRexposome documentation built on Jan. 24, 2021, 2:03 a.m.
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Description exposome-omic data association study exposome-omic data integration study
Description
omicRexposome: Package for exposome and omic data associatin and integration
exposome-omic data association study
The packages offers the function association that allows to
perform an association study using transcriptome, methylome, etc. as
dependent variable and exposome data as independent variable. The function relies on
limma pipeline and generates an object of class ResultSet,
that can be ploted using plotAssociation.
exposome-omic data integration study
The packages offers the function crossomics that allows to perform
two types of integration study: Multi Canonical Correlation Analysis and
Multi Co-Inertia Analysis. The function allos to use any type and number of
datasets (aka. exposome transcriptome, methylome, etc.). The function generates an
object of class ResultSet, that can be ploted using
plotIntegration.
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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