CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learning.

Journal: BMC bioinformatics
Published Date: Jun 1, 2020

Abstract

BACKGROUND: The latest works on CRISPR genome editing tools mainly employs deep learning techniques. However, deep learning models lack explainability and they are harder to reproduce. We were motivated to build an accurate genome editing tool using sequence-based features and traditional machine learning that can compete with deep learning models.

Authors

  • Ali Haisam Muhammad Rafid
    Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
  • Md Toufikuzzaman
    Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
  • Mohammad Saifur Rahman
    Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
  • M Sohel Rahman
    Department of CSE, BUET, ECE Building, West Palasi, Dhaka 1205, Bangladesh. Electronic address: msrahman@cse.buet.ac.bd.

Keywords

External Resources

Popular Topics
Recent Journals