Two tour-de-force papers from the Robinson lab: BayesRR-RC for estimating annotation-specific genetic architecture. medrxiv.org/content/10.110… Bayes-W for whole-genome regression with time-to-event outcomes. medrxiv.org/content/10.110…

Glad to have jointly developed with Marion Patxot and Daniel Trejo in Robinson lab, a new Bayesian regression method that can do super fast GWAS discovery AND heritability estimation using data from millions of SNPs and hundrends of thousands of individuals. medrxiv.org/content/10.110…

Very happy to introduce the BayesW model enabling genome-wide analysis of censored time-to-event phenotypes in biobank-scale data sets. disq.us/t/3ricvsd

Very excited to see the BayesW paper on biobank-scale genome-wide time-to-event analysis published in Nature Communications. disq.us/t/3wbm9vs Dept of Computational Biology, Uni Lausanne Université de Lausanne ISTAustria

A genomic dataset for preventive health care? 🧬 A new #statisticalmodel developed by our Asst. Prof. Matthew Robinson with an intern. team of researchers is the first step towards predicting the onset of diseases! Read the story here 📢 bit.ly/2P8sLOK #MedicalGenomics