@article{593be0be4fbf41e1a177068f77f19777,
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. ",
author = "Boutros, {Paul C.} and Margolin, {Adam A.} and Stuart, {Joshua M.} and Andrea Califano and Gustavo Stolovitzky",
note = "Funding Information: We are indebted to the DREAM community for teaching us how to run challenges, and to Sage Bionetworks for their contributions in organizing DREAM challenges. This study was conducted with the support of the Ontario Institute for Cancer Research through funding provided by the Government of Ontario (to PCB). This work was supported by Prostate Cancer Canada and is proudly funded by the Movember Foundation (Grant #RS2014-01). Dr Boutros was supported by a Terry Fox Research Institute New Investigator Award and a CIHR New Investigator Award. This project was supported by Genome Canada through a Large-Scale Applied Project contract. This work was also supported by the Discovery Frontiers: Advancing Big Data Science in Genomics Research program, which is jointly funded by the Natural Sciences and Engineering Research Council (NSERC) of Canada, the Canadian Institutes of Health Research (CIHR), Genome Canada, and the Canada Foundation for Innovation (CFI). NIH grants R01 CA180778 (JMS) and U24-CA143858 (JMS) supported this work.",
year = "2014",
doi = "10.1186/s13059-014-0462-7",
language = "English (US)",
volume = "15",
pages = "462",
journal = "Genome biology",
issn = "1474-7596",
publisher = "BioMed Central",
number = "9",
}