Software

U-PASS

U-PASS is a web-based R Shiny application that enables unified power analysis of association studies, such as genome-wide association tests (GWAS). It performs

• Model-invariant, test-indenpendent power anlaysis of association tests

• Systematic review of reported findings in the genetics literature

The application is hosted at https://power.stat.lsa.umich.edu/u-pass/, and on a back-up server, and on ShinyApps.io with limited uptime quota.

link to the repo on Github: https://github.com/Pill-GZ/U-PASS

Covariate-assisted Spectral Clustering

Hyesun, Yura and I implemented the algorithm described in Norbert Binkiewicz's Covariate-assisted Spectral Clustering (2016) in the form of an R (Rcpp) package.

• The original authors’ implementation, although still available at Github, is not producing correct results (Dec 2016).

• Our version runs 30 times faster.

link to the repo on Github: https://github.com/Pill-GZ/CASC