gQTLstats-package: gQTLstats: computationally efficient analysis for eQTL and...
In gQTLstats: gQTLstats: computationally efficient analysis for eQTL and allied studies
Description
computationally efficient analysis of eQTL, mQTL, dsQTL, etc.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
This package addresses the management of map-reduce like computations
for cis-association tests between DNA variants and genomic features
like gene expression measurements. It makes essential use of
data structures defined in package gQTLBase.
A number of experimental functions are present in the
current version of the package:
prep.cisAssocNB (assembles information to assess negative
binomial regression in cis association testing),
storeToMaxAssocBySNP (progress towards SNP-specific FDR),
table_sensobj_thresh (reporting on sensitivity analysis).
Additional experimental functions are available to support
scalable trans-gQTL testing
TransChunk, filteredDFwPerm, and transTable operate on
output of AllAssoc.
Author(s)
VJ Carey <stvjc@channing.harvard.edu>
Maintainer: VJ Carey <stvjc@channing.harvard.edu>
gQTLstats documentation built on Nov. 8, 2020, 7:53 p.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
computationally efficient analysis of eQTL, mQTL, dsQTL, etc.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Index: This package was not yet installed at build time.
This package addresses the management of map-reduce like computations for cis-association tests between DNA variants and genomic features like gene expression measurements. It makes essential use of data structures defined in package gQTLBase.
A number of experimental functions are present in the current version of the package: prep.cisAssocNB (assembles information to assess negative binomial regression in cis association testing), storeToMaxAssocBySNP (progress towards SNP-specific FDR), table_sensobj_thresh (reporting on sensitivity analysis).
Additional experimental functions are available to support scalable trans-gQTL testing TransChunk, filteredDFwPerm, and transTable operate on output of AllAssoc.
Author(s)
VJ Carey <stvjc@channing.harvard.edu>
Maintainer: VJ Carey <stvjc@channing.harvard.edu>
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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