Bioinformatics | Genetics | Molecular Biology DeepCRISTL: Deep transfer learning to predict CRISPR/Cas9 on-target editing efficiency in specific cellular contexts. July 29, 2024
Biology | Genetics CrnnCrispr: An Interpretable Deep Learning Method for CRISPR/Cas9 sgRNA On-Target Activity Prediction. April 27, 2024
Bioinformatics | Genetics | Molecular Biology [Prediction of CRISPR/Cas9 off-target activity using multi-scale convolutional neural network]. March 28, 2024
Immunology | Molecular Biology The Neurobeachin-like 2 protein (NBEAL2) controls the homeostatic level of the ribosomal protein RPS6 in mast cells. January 25, 2024
Genetics | Molecular Biology Interpretable CRISPR/Cas9 off-target activities with mismatches and indels prediction using BERT. January 10, 2024
Bioinformatics | Genetics piCRISPR: Physically informed deep learning models for CRISPR/Cas9 off-target cleavage prediction. December 4, 2023
Bioinformatics | Biophysics | Genomics Interpretable neural architecture search and transfer learning for understanding CRISPR/Cas9 off-target enzymatic reactions. October 9, 2023
Bioinformatics | Genetics | Molecular Biology Benchmarking deep learning methods for predicting CRISPR/Cas9 sgRNA on- and off-target activities. September 29, 2023
Bioinformatics | Genetics | Molecular Biology A fusion framework of deep learning and machine learning for predicting sgRNA cleavage efficiency. September 11, 2023
Bioinformatics | Genomics | Molecular Biology Hybrid Multitask Learning Reveals Sequence Features Driving Specificity in the CRISPR/Cas9 System. May 16, 2023
Biomedicine | Genetics Using traditional machine learning and deep learning methods for on- and off-target prediction in CRISPR/Cas9: a review. April 20, 2023
Bioinformatics | Genetics | Molecular Biology Current Bioinformatics Tools to Optimize CRISPR/Cas9 Experiments to Reduce Off-Target Effects. April 13, 2023