A Crowd-Based ‘DREAM Challenge’ to Develop Predictive Models for Targeted Cancer Therapy

July 02, 2014

Dialogue for Reverse Engineering Assessments and Methods, or DREAM, invites the community to propose creative solutions to develop and evaluate complicated systems biology algorithms and methodologies.

On June 2nd, the Gene Essentiality Prediction Challenge was launched to address knowledge gaps in targeted cancer therapy development. This crowd-based competition asks participants to develop algorithms that predict gene dependencies using features specific to certain cancer cell lines. Some of the data that is being used for the challenge was generated with funding from OCG’s Cancer Target Discovery and Development initiative.

A second phase of this challenge will launch in late July/early August. September 15th is the deadline for all submissions. The best performing team will be announced in October and asked to present their results at the RECOMB/ISCB Systems and Regulatory Genomics, with DREAM Conference in San Diego, California, November 10-14, 2014. They will also be invited to co-author a manuscript describing the Challenge, which will highlight the winning method in the results section.

Last updated: March 18, 2021