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

Ali Haisam Muhammad RafidMd ToufikuzzamanMohammad Saifur RahmanM Sohel Rahman

Published in: BMC bioinformatics (2020)

CRISPRpred(SEQ) has been able to convincingly beat DeepCRISPR in 3 out of 4 cell lines. We believe that by exploring further, one can design better features only using the sgRNA sequences and can come up with a better method leveraging only traditional machine learning algorithms that can fully beat the deep learning models.

Keyphrases

machine learning
deep learning
artificial intelligence
rna seq
genome wide
single cell
heart rate
big data
convolutional neural network
blood pressure
gene expression
amino acid
genetic diversity