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bioc
cpvSNP:Gene set analysis methods for SNP association p-values that lie in genes in given gene sets
Gene set analysis methods exist to combine SNP-level association p-values into gene sets, calculating a single association p-value for each gene set. This package implements two such methods that require only the calculated SNP p-values, the gene set(s) of interest, and a correlation matrix (if desired). One method (GLOSSI) requires independent SNPs and the other (VEGAS) can take into account correlation (LD) among the SNPs. Built-in plotting functions are available to help users visualize results.
Maintained by Caitlin McHugh. Last updated 5 months ago.
geneticsstatisticalmethodpathwaysgenesetenrichmentgenomicvariation
3.30 score 3 scripts
tswanson222
modnets:Modeling Moderated Networks
Methods for modeling moderator variables in cross-sectional, temporal, and multi-level networks. Includes model selection techniques and a variety of plotting functions. Implements the methods described by Swanson (2020) <https://www.proquest.com/openview/d151ab6b93ad47e3f0d5e59d7b6fd3d3>.
Maintained by Trevor Swanson. Last updated 3 years ago.
2.70 score 6 scripts