Machine learning technology in the application of genome analysis: A systematic review.

Journal: Gene
Published Date:

Abstract

Machine learning (ML) is a powerful technique to tackle many problems in data mining and predictive analytics. We believe that ML will be of considerable potentials in the field of bioinformatics since the high-throughput technology is producing ever increasing biological data. In this review, we summarized major ML algorithms and conditions that must be paid attention to when applying these algorithms to genomic problems in details and we provided a list of examples from different perspectives and data analysis challenges at present.

Authors

  • Jie Wu
    Center of Disease Control of Qingdao, 175 Shandong Road, Qingdao, Shandong, 266001, China.
  • Yiqiang Zhao
    Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Biological Sciences, China Agricultural University, Beijing, PR China; State Key Laboratory of Agrobiotechnology, China Agricultural University, Beijing, PR China. Electronic address: yiqiangz@cau.edu.cn.