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

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

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 ma...

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Bibliographic Details
Main Authors: Ali Haisam Muhammad Rafid, Md. Toufikuzzaman, Mohammad Saifur Rahman, M. Sohel Rahman
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Bioinformatics
Subjects:
CRISPR
sgRNA
Machine learning
Deep learning
Cas9
Online Access:http://link.springer.com/article/10.1186/s12859-020-3531-9

Internet

http://link.springer.com/article/10.1186/s12859-020-3531-9

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