A powerful gene-based test via variable selection for genome-wide association studies.
ARTP (Adaptive Rank Truncated Product) version 2.0.2 is an R package for analyzing pre-defined genetic pathway based on a genetic association study. The outcome can be either continuos or binary (case/control).
A subset-based approach improves power and interpretation for combined analysis of genetic assocation studies of heterogeneous traits.
Bayesian model for Detecting Gene Environment interaction
BSR (Bayesian Subset Regression) is an R package that implements the Bayesian subset modeling procedure for high-dimensional generalized linear models.
An R package for testing Calibration of Binary Risk Model (CBRM) using different goodness-of-fit statistics
CNVfam is a software package for jointly detecting copy number variations (CNV) in nuclear families genotyped using the Illumina platform.
CompareTests is an R package to estimate agreement and diagnostic accuracy statistics for two diagnostic tests when one is conducted on only a subsample of specimens. A standard test is observed on all specimens.
Software package designed to perform a range of association tests between sets of SNPs and a phenotype.
This is a R package for rapid evaluation of extremely small p-value for resampling-based test (EXPERT).
CGEN (Case-control.Genetics) is an R package for analyzing genetic data on case-control samples, with particular emphasis on novel methods for detecting Gene-Gene and Gene-Environment interactions.
IN.power is an R package for estimating the number of susceptibility SNPs and power of future studies.
Background explanation of the Interactive Radioepidemiological Computer Program
Different approaches for handling varied error structures in studies of irradiated populations
MultiAssoc is a MATLAB software package for test of association of a disease with a group of SNPs after accounting for their interaction with another group of SNPs or environmental exposures.
NestedCohort is an R software package for fitting Kaplan-Meier and Cox Models to estimate standardized survival and attributable risks for studies where covariates of interest are observed on only a sample of the cohort.
PGA is a software package containing algorithms and graphical user interfaces developed in Matlab for power and sample size calculation under various genetic models and statistical constraints.
SegCNV is a software package, implemented in C++, to detect germline copy number variations in SNP array data.
Discussions of different approaches for handling varied error structures in studies of irradiated populations