Data-driven Biomarker and Drug Discovery using Network-based Approach
Fuhai Li · Journal of Genetics and Genome Research · 2015
An increasing body of large-scale genomic profiling data has been being generated on many diseases including cancers and on a number of drugs and compounds.The exploration of such big data has led to data-driven biomedical research.The data-driven studies include exploring disease subtypes with distinct molecular patterns, uncovering novel diagnosis biomarkers or treatments, and discovering new indications of drugs along with novel mechanisms of drug action, among others.However, challenges remain to integrate, interpret and convert the big biomedical data into informative knowledge or therapeutic discovery, and demanding sophisticated computational approaches for the big data analysis.Here, we review the network-based approaches as a promising strategy for novel biomarker and drug discovery of cancer by integrating big and diverse data of genomics.