title: Toward better benchmarking: challenge-based methods assessment in cancer genomics.
abstract: Rapid technological development has created an urgent need for improved evaluation of algorithms for the analysis of cancer genomics data. We outline how challenge-based assessment may help fill this gap by leveraging crowd-sourcing to distribute effort and reduce bias.
authors.forename: Paul C
authors.initials: PC
authors.lastname: Boutros
authors.forename: Adam A
authors.initials: AA
authors.lastname: Margolin
authors.forename: Joshua M
authors.initials: JM
authors.lastname: Stuart
authors.forename: Andrea
authors.initials: A
authors.lastname: Califano
authors.forename: Gustavo
authors.initials: G
authors.lastname: Stolovitzky
mesh_terms: D019985:Benchmarking; D004252:DNA Mutational Analysis; D056726:Genetic Association Studies / Q000592:standards*; D015894:Genome, Human; D023281:Genomics; D006801:Humans; D009369:Neoplasms / Q000235:genetics*; D012015:Reference Standards