The Dream 8 Challenges | (R news & tutorials)

"The 8th iteration of the DREAM Challenges are underway. DREAM is something like the Kaggle of computational biology with an open science bent. Participating teams apply machine learning and statistical modeling methods to biological problems, competing to achieve the best predictive accuracy. This year's three challenges focus on reverse engineering cancer, toxicology and the kinetics of the cell. [1] HPN-DREAM Breast Cancer Network Inference Challenge Infer the signaling networks in breast cancer cell lines [2] NIEHS-NCATS-UNC DREAM Toxicogenetics Challenge Predict individual response to environmental and pharmaceutical chemicals [3] The Whole-Cell Parameter Estimation DREAM Challenge Infer the kinetic parameters underlying biological processes in whole cell models Sage Bionetworks (my employer) has teamed up with DREAM to offer our Synapse platform as an integral part of the challenges. Synapse is targeted at providing a platform for hosting data analysis projects, much like GitHub is a platform for software development projects ..."