PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Cross-species translation of multi-way biomarkers
Tommi Suvitaival, Ilkka Huopaniemi, Matej Oresic and Samuel Kaski
In: Proc. ICANN 2011(2011).

Abstract

We present a Bayesian translational model for matching patterns in data sets which have neither co-occurring samples nor variables, but only a similar experiment design dividing the samples into two or more categories. The model estimates covariate effects related to this design and separates the factors that are shared across the data sets from those specific to one data set. The model is designed to find similarities in medical studies, where there is great need for methods for linking laboratory experiments with model organisms to studies of human diseases and new treatments.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:9175
Deposited By:Samuel Kaski
Deposited On:21 February 2012