In February 2019, the precisionFDA and the National Cancer Institute’s (NCI) Clinical Proteomic Tumor Analysis Consortium (CPTAC) (in coordination with DREAM Challenges) proudly announced the best performers in the first-ever Crowdsourced Multi-omics Sample Mislabeling Big Data Challenge. Two of the top performers will present their winning computational methods at this year’s DREAM Challenges workshop at RECOMB2019 to be held at The George Washington University on May 4, 2019. Ms. Renke Pan, a data scientist from Sentieon ranked as one of the top three participants for Subchallenge 1 and Subchallenge 2, will discuss her approaches and final results for both subchallenges. Dr. Anders Carlsson from Bionamic who developed one of the top three performing methods for Subchallenge 2 will focus on revealing his computational strategies for Subchallenge 2.
In addition to the presentations on the precisionFDA-NCI-CPTAC Challenge and the ICGC-TCGA DREAM Somatic Mutation Calling – RNA Fusion Detection Challenge, the DREAM conference will further explore the role of crowd-sourced Challenges in stimulating creative use of data in big-data projects. The goals of this part of the workshop are to foster an open communication climate and cross-fertilize knowledge and collaboration between big data initiatives carried out by the US federal government agencies and the scientific community, such as NCI’s Cancer Research Data Common, and NASA’s GeneLab Platform for Space Biology and Omics Data. This one-day workshop is anticipated to incentivize large-scale data initiatives to leverage crowdsourced Challenges as an effective and viable strategy for enhanced data use by the broad community, and also provide an overview on the process of challenge organization from inception to results.
For details on the workshop, go to https://dream.recomb2019.org/program.
Registration for the DREAM workshop is now open at https://recomb2019.org/satellite-registration.