| Off-target predictions in CRISPR-Cas9 gene editing using deep learning J Lin, KC Wong Bioinformatics 34 (17), i656-i663, 2018 | 150 | 2018 |
| Human genetic diversity alters off-target outcomes of therapeutic gene editing S Cancellieri, J Zeng, LY Lin, M Tognon, MA Nguyen, J Lin, N Bombieri, ... Nature genetics 55 (1), 34-43, 2023 | 43 | 2023 |
| CRISPR‐Net: A Recurrent Convolutional Network Quantifies CRISPR Off‐Target Activities with Mismatches and Indels J Lin, Z Zhang, S Zhang, J Chen, KC Wong Advanced Science, 1903562, 2020 | 42 | 2020 |
| Review of single-cell RNA-seq data clustering for cell-type identification and characterization S Zhang, X Li, J Lin, Q Lin, KC Wong Rna 29 (5), 517-530, 2023 | 36 | 2023 |
| Precise DNA cleavage using CRISPR-SpRYgests KA Christie, JA Guo, RA Silverstein, RM Doll, M Mabuchi, HE Stutzman, ... Nature biotechnology 41 (3), 409-416, 2023 | 27 | 2023 |
| CoaDTI: multi-modal co-attention based framework for drug–target interaction annotation L Huang, J Lin, R Liu, Z Zheng, L Meng, X Chen, X Li, KC Wong Briefings in Bioinformatics 23 (6), bbac446, 2022 | 23 | 2022 |
| EGFI: Drug-Drug Interaction Extraction and Generation with Fusion of Enriched Entity and Sentence Information L Huang, J Lin, X Li, L Song, KC Wong Briefings in Bioinformatics 23 (1), 2021 | 18 | 2021 |
| Early cancer detection from multianalyte blood test results KC Wong, J Chen, J Zhang, J Lin, S Yan, S Zhang, X Li, C Liang, C Peng, ... Iscience 15, 332-341, 2019 | 17 | 2019 |
| Uncovering the key dimensions of high-throughput biomolecular data using deep learning S Zhang, X Li, Q Lin, J Lin, KC Wong Nucleic acids research 48 (10), e56-e56, 2020 | 13 | 2020 |
| View analysis of personal information leakage and privacy protection in big data era—based on Q method L Huang, J Zhou, J Lin, S Deng Aslib Journal of Information Management 74 (5), 901-927, 2022 | 8 | 2022 |
| Feature selection and feature extraction: Highlights HM Wong, X Chen, HH Tam, J Lin, S Zhang, S Yan, X Li, KC Wong Proceedings of the 2021 5th International Conference on Intelligent Systems …, 2021 | 8 | 2021 |
| GILoop: Robust chromatin loop calling across multiple sequencing depths on Hi-C data F Wang, T Gao, J Lin, Z Zheng, L Huang, M Toseef, X Li, KC Wong Iscience 25 (12), 2022 | 5 | 2022 |
| Heterodimeric DNA motif synthesis and validations KC Wong, J Lin, X Li, Q Lin, C Liang, YQ Song Nucleic acids research 47 (4), 1628-1636, 2019 | 5 | 2019 |
| An Artificial Intelligence Approach for Gene Editing Off-Target Quantification: Convolutional Self-attention Neural Network Designs and Considerations J Lin, X Chen, KC Wong Statistics in Biosciences, 1-12, 2022 | 1 | 2022 |
| MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm Z Liu, HM Wong, X Chen, J Lin, S Zhang, S Yan, F Wang, X Li, KC Wong Computers in Biology and Medicine 168, 107753, 2024 | | 2024 |
| A Lightweight Framework For Chromatin Loop Detection at the Single‐Cell Level F Wang, H Alinejad‐Rokny, J Lin, T Gao, X Chen, Z Zheng, L Meng, X Li, ... Advanced Science 10 (33), 2303502, 2023 | | 2023 |
| DeepMotifSyn: a deep learning approach to synthesize heterodimeric DNA motifs J Lin, L Huang, X Chen, S Zhang, KC Wong Briefings in Bioinformatics 23 (1), 2022 | | 2022 |
| Deep Neural Networks for Epistatic Sequence Analysis J Lin Epistasis: Methods and Protocols, 277-289, 2021 | | 2021 |
Ka-Chun WongStanford's top 2% most highly cited scientists (v5,v6)Verified email at cs.toronto.edu
