Ka Yee Yeung: Software

• BMA. Bayesian Model Averaging (BMA) is a multivariate variable selection method. This is a R package that I contributed to. The main authors are Adrian Raftery, Jennifer Hoeting, and Chris Volinsky. Please visit Adrian Raftery's BMA page for background and related papers.

• iterativeBMA (or iBMA). iBMA extends BMA to be applicable to high-dimensional gene expression data. This is a bioconductor package that I wrote. This package was developed with Adrian Raftery. Related paper: Yeung et al. Bioinformatics 2005.

• MeV+R. This is an integration of the java MeV program with Bioconductor packages. This was written by Vu Chu, and joint work with Roger Bumgarner. This is now part of the official MeV release. Related paper: Chu et al. Genome Biology 2008.

• iterativeBMAsurv (or iBMAsurv). iBMAsurv extends iBMA to survival analysis on high-dimensional gene expression data.This is a bioconductor package that I developed with Amalia Annest. Related paper: Annest et al. BMC Bioinformatics 2009.

• networkBMA. This is a R package for network inference and assessment. Major revision: April 2014 to implement the ScanBMA algorithm. Related papers: Yeung et al. PNAS 2011, Lo et al. BMC Systems Biology 2012, Young et al. BMC Systems Biology 2014

• CyNetworkBMA. This is a Cytoscape app for network inference and assessment. Related paper: Fronczuk et al. Source Code for Biology and Medicine 2015

• GUIdock-X11 GitHub page. This is a Docker package that uses a common X11 graphical interface on different host operating systems. Related paper: Hung et al. PLOS One 2016

• GUIdock-VNC GitHub page This is a Docker package that uses a browser to provide a graphical desktop for Docker containers. Related paper: to appear in Gigascience.

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