BFRM For Mac

BFRM is an easy to use tool for Bayesian modelling and analysis of sparse latent factor and factor-regression models, with a number of developments related to applications in analysis of large-scale gene expression data sets.

Bayesian analysis utilising sparsity-inducing models, and computational methods able to efficiently explore and fit large-scale models, now allow these approaches to be used in increasingly complex and high-dimensional problems.

The statistical methods and computational analysis represented in BFRM are generic and will apply in many areas of application.

Some recent applications include studies in finance and econometrics and other areas.

A major focus for applications is in biological studies using gene expression data coupled with outcomes (phenotypes) to be predicted based on patterns underlying gene expression, and especially for biological pathway analysis and the evaluation of subpathway structure. Examples of the use of the program in this area will be provided shortly.