13th Annual International Conference on Critical Assessment of Massive Data Analysis (CAMDA 2014)
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CAMDA focuses on the specific challenges and opportunities in the analysis of the massive data sets that are increasingly produced in several fields of the life sciences. The conference offers researchers from the computer sciences, statistics, molecular biology, and other fields a unique opportunity to benefit from a critical comparative evaluation of the latest approaches in the analysis of life sciences' ?Big Data?. This year, CAMDA's scientific committee set up three challenges to integrate multi-track -omics data:
* dual dose response profiles for 14 unknown and 2 known compounds from the InnoMed PredTox project of the EU FP7 program;
* selected cancers from International Cancer Genome Consortium (ICGC), and;
* the prediction of drug compatibility from an extremely large toxicogenomic data set.