Md. Toufikuzzaman

The paper introduces CRISPR-DIPOFF, a deep learning model for CRISPR-Cas9 off-target prediction that improves performance and provides interpretability through integrated gradients and genetic algorithm optimization.

The paper develops a pipeline to classify SARS-CoV-2 genome sequences for virulence and predict mutations using deep learning.

CRISPRpred(SEQ) is a sequence-based tool that outperforms DeepCRISPR in predicting sgRNA on-target activity for three out of four cell lines using traditional machine learning.