Ontology highlight
ABSTRACT:
SUBMITTER: Dao P
PROVIDER: S-EPMC2935415 | biostudies-literature | 2010 Sep
REPOSITORIES: biostudies-literature
Dao Phuong P Colak Recep R Salari Raheleh R Moser Flavia F Davicioni Elai E Schönhuth Alexander A Ester Martin M
Bioinformatics (Oxford, England) 20100901 18
<h4>Motivation</h4>Recent genomic studies have confirmed that cancer is of utmost phenotypical complexity, varying greatly in terms of subtypes and evolutionary stages. When classifying cancer tissue samples, subnetwork marker approaches have proven to be superior over single gene marker approaches, most importantly in cross-platform evaluation schemes. However, prior subnetwork-based approaches do not explicitly address the great phenotypical complexity of cancer.<h4>Results</h4>We explicitly a ...[more]