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

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 le...

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Detalles Bibliográficos
Autores principales: Muhammad Rafid, Ali Haisam, Toufikuzzaman, Md., Rahman, Mohammad Saifur, Rahman, M. Sohel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268231/
https://www.ncbi.nlm.nih.gov/pubmed/32487025
http://dx.doi.org/10.1186/s12859-020-3531-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268231/
https://www.ncbi.nlm.nih.gov/pubmed/32487025
http://dx.doi.org/10.1186/s12859-020-3531-9

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