Boutros Paul C, Margolin Adam A, Stuart Joshua M, Califano Andrea, Stolovitzky Gustavo
Genome Biol. 2014 Sep 17;15(9):462. doi: 10.1186/s13059-014-0462-7.
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.
快速的技术发展使得迫切需要改进对癌症基因组学数据分析算法的评估。我们概述了基于挑战的评估如何通过利用众包来分散工作量并减少偏差,从而有助于填补这一空白。