GeneticsbioRxivPreprint
Classifying CRISPR-Cas9 Off-Target Cleavage Sites from GUIDE-seq Data: A Class-Imbalanced Machine Learning Benchmark
Deeksha Sarvi, Juhitha Alasyam
The paper benchmarks machine learning classifiers for predicting CRISPR-Cas9 off-target cleavage sites using GUIDE-seq data, finding that gradient boosting performs best in a highly imbalanced dataset.
DOI 10.64898/2026.08.19.745843