Showing 4 of total 4 results (show query)
jinghuazhao
gap:Genetic Analysis Package
As first reported [Zhao, J. H. 2007. "gap: Genetic Analysis Package". J Stat Soft 23(8):1-18. <doi:10.18637/jss.v023.i08>], it is designed as an integrated package for genetic data analysis of both population and family data. Currently, it contains functions for sample size calculations of both population-based and family-based designs, probability of familial disease aggregation, kinship calculation, statistics in linkage analysis, and association analysis involving genetic markers including haplotype analysis with or without environmental covariates. Over years, the package has been developed in-between many projects hence also in line with the name (gap).
Maintained by Jing Hua Zhao. Last updated 7 days ago.
12 stars 11.94 score 448 scripts 16 dependents
mrcieu
TwoSampleMR:Two Sample MR Functions and Interface to MRC Integrative Epidemiology Unit OpenGWAS Database
A package for performing Mendelian randomization using GWAS summary data. It uses the IEU OpenGWAS database <https://gwas.mrcieu.ac.uk/> to automatically obtain data, and a wide range of methods to run the analysis.
Maintained by Gibran Hemani. Last updated 4 days ago.
476 stars 11.27 score 1.7k scripts 1 dependentsmrcieu
epigraphdb:Interface Package for the 'EpiGraphDB' Platform
The interface package to access data from the 'EpiGraphDB' <https://epigraphdb.org> platform. It provides easy access to the 'EpiGraphDB' platform with functions that query the corresponding REST endpoints on the API <https://api.epigraphdb.org> and return the response data in the 'tibble' data frame format.
Maintained by Yi Liu. Last updated 3 years ago.
api-clientbioinformaticsepidemiologygraph-databasemendelian-randomizationphenotypes
27 stars 6.02 score 13 scripts
steffenmoritz
imputeR:A General Multivariate Imputation Framework
Multivariate Expectation-Maximization (EM) based imputation framework that offers several different algorithms. These include regularisation methods like Lasso and Ridge regression, tree-based models and dimensionality reduction methods like PCA and PLS.
Maintained by Steffen Moritz. Last updated 4 years ago.
16 stars 4.94 score 54 scripts