Integrative Analysis Approach for Analysis and Prediction of Cancer

Abstract

Cancer being a deadly disease is still the inscrutable problem. Diagnosis and Prognosis are the two main challenges which are to be addressed in treating cancer. We live in on-demand, on-command Digital universe with data prolifering by Institutions, Individuals and Machines at a very high rate. This data is categorized as "Big Data" due to its sheer Volume, Variety, Velocity and Veracity. Most of this data is unstructured, quasi structured or semi structured and it is heterogeneous in nature. If one wants to find out how Big Data is helping to make the world a better place, there’s no better example than the uses being found for it in healthcare. Several recently announced collaborations between academic research institutions and big data analytics vendors powering advanced discovery technologies will bring the power of big data to new studies that may have significant impacts on future therapies and treatments. Big data analytics will help to spur research into cancer and diseases caused by genetics with a trio of new collaborations. Sooner the Cancer is diagnosed; better the chances of overall survival. Diagnosis and Prognosis are the two major challenging aspects which are to be addressed in treating cancer. Early diagnosis helps treating cancer before they become metastatic; in addition, prognosis will reveal the survival pattern for different attributes i.e., for specific drug, before and after the treatment.