Applications of Machine Learning in miRNA Discovery and Target Prediction.

Journal: Current genomics
Published Date: Dec 1, 2019

Abstract

MicroRNA (miRNA) is a small non-coding molecule that is involved in gene regulation and RNA silencing by complementary on their targets. Experimental methods for target prediction can be time-consuming and expensive. Thus, the application of the computational approach is implicated to enlighten these complications with experimental studies. However, there is still a need for an optimized approach in miRNA biology. Therefore, machine learning (ML) would initiate a new era of research in miRNA biology towards potential diseases biomarker. In this article, we described the application of ML approaches in miRNA discovery and target prediction with functions and future prospective. The implementation of a new era of computational methodologies in this direction would initiate further advanced levels of discoveries in miRNA.

Authors

  • Alisha Parveen
    1Institute of Medical Bioinformatics and Systems Medicine Medical Center, Faculty of Medicine, Albert-Ludwigs University of Freiburg, 79110Freiburg, Germany; 2Department of Computer Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh, Uttar Pradesh, India; 3Department of Bioscience and Bio- engineering, Indian Institute of Technology, Jodhpur, India; 4Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India; 5Manipal Academy of Higher Education (MAHE), Manipal576104, Karnataka, India.
  • Syed H Mustafa
    1Institute of Medical Bioinformatics and Systems Medicine Medical Center, Faculty of Medicine, Albert-Ludwigs University of Freiburg, 79110Freiburg, Germany; 2Department of Computer Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh, Uttar Pradesh, India; 3Department of Bioscience and Bio- engineering, Indian Institute of Technology, Jodhpur, India; 4Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India; 5Manipal Academy of Higher Education (MAHE), Manipal576104, Karnataka, India.
  • Pankaj Yadav
    1Institute of Medical Bioinformatics and Systems Medicine Medical Center, Faculty of Medicine, Albert-Ludwigs University of Freiburg, 79110Freiburg, Germany; 2Department of Computer Engineering, Zakir Husain College of Engineering and Technology, Aligarh Muslim University, Aligarh, Uttar Pradesh, India; 3Department of Bioscience and Bio- engineering, Indian Institute of Technology, Jodhpur, India; 4Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India; 5Manipal Academy of Higher Education (MAHE), Manipal576104, Karnataka, India.
  • Abhishek Kumar
    Manipal Academy of Higher Education (MAHE), Manipal, India.

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