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bayesrrcpp

C++ implementation of BayesR using Eigen

ci-gwas

Causal inference for multiple risk factors and diseases from genomics data

data-analysis

gmrm

A Bayesian grouped mixture of regressions model capable of estimating SNP marker effect sizes for multiple outcomes simultaneously

gmrm-omi

Bayesian grouped mixture of regressions model for analysing omics data

gvamp

Vector Approximate Message Passing inference framework for GWAS

hydra

Software for performing Bayesian penalized regression for complex trait analysis using hybrid-parallel algorithms.

maja

pred_limits

Fundamental limits of genetic effects inference in Bayesian regression setting

readf32-py-howto

Short tutorial on how to read a float32 binary matrix from file in python

rs-bann

Biologically annotated Bayesian Neural Network implementation in Rust

vampomi

gVAMPomi is Vector Approximate Message Passing method for analyzing omics data