Traditional machine learning and big data analytics in virtual screening: a comparative study

Abstract

An unprecedented development in biomedical data has been observed in latest years.The capability to analyze a large portion of this data will offer many opportunities that will in turn affect the future of health care [1].In this age, traditional storage and processing techniques are not sufficient to meet the demand and hence, computing techniques must scale to handle the huge volume of data.The main difficulty in managing these data is the speed at which they are generated, that is, data generation is much faster than the available computer resources for data analysis.