PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Biomarker discovery via dependency analysis of multi-view functional genomics data
Ali Faisal, Riku Louhimo, Leo Lahti, Sampsa Hautaniemi and Samuel Kaski
In: NIPS 2011 workshop From Statistical Genetics to Predictive Models in Personalized Medicine(2011).


Cancers are complex diseases, characterized by genomic changes at multiple levels of regulation. We present an integrative genome-wide approach that captures shared patterns from several data sources and extracts chromosomal regions predictive of patient survival in glioblastoma multiforme (GBM) progression and drug resistance. Our results identify known and novel genomic regions that may contribute to GBM progression and drug resistance.

EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:9170
Deposited By:Samuel Kaski
Deposited On:21 February 2012