Topcoder Marathon Match - Crowd Innovation Lab at Harvard, the Broad Institute, and NIH LINCS Program
present Connectivity Map Challenge 1
Total Prize Purse $20,000
This Marathon Match is completed!
The Connectivity Map (CMap) is a Broad Institute project that enables the discovery of functional connections between drugs, genes and diseases through the generation and analysis of gene expression signatures. Recent technological advances and laboratory automation have enabled data generation scale-up resulting in a massive catalog of drug and gene signatures. When coupled with powerful pattern recognition algorithms, these data represent a rich reference library for the research community.
CMap utilizes a novel, high-throughput gene expression profiling technology to generate gene expression profiles at scale. The crux of this approach is that instead of measuring all ~20,000 genes in the human genome, CMap measures a select subset of approximately 1,000 genes and uses these “landmark” gene measurements to computationally infer a large portion of the remainder. The current algorithm is effective but imperfect, and improving the imputation methods will have an immediate impact on the quality of data and the biologically meaningful connections that can be discovered. With this in mind, we have designed our first contest to stimulate the exploration of new and improved inference methods.
Part of the Precision Medicine Crowdsourcing Challenge Series: