| Graph-based prediction of protein-protein interactions with attributed signed graph embedding F Yang, K Fan, D Song, H Lin BMC bioinformatics 21, 1-16, 2020 | 134 | 2020 |
| Artificial intelligence and machine learning methods in predicting anti-cancer drug combination effects K Fan, L Cheng, L Li Briefings in bioinformatics 22 (6), bbab271, 2021 | 34 | 2021 |
| Graph2GO: a multi-modal attributed network embedding method for inferring protein functions K Fan, Y Guan, Y Zhang GigaScience 9 (8), giaa081, 2020 | 32 | 2020 |
| Synthetic lethal gene pairs: Experimental approaches and predictive models S Tang, B Gökbağ, K Fan, S Shao, Y Huo, X Wu, L Cheng, L Li Frontiers in Genetics 13, 961611, 2022 | 13 | 2022 |
| Essentiality and transcriptome-enriched pathway scores predict drug-combination synergy J Li, Y Huo, X Wu, E Liu, Z Zeng, Z Tian, K Fan, D Stover, L Cheng, L Li Biology 9 (9), 278, 2020 | 13 | 2020 |
| Generation of dual-gRNA library for combinatorial CRISPR screening of synthetic lethal gene pairs S Tang, X Wu, J Liu, Q Zhang, X Wang, S Shao, B Gokbag, K Fan, X Liu, ... STAR protocols 3 (3), 101556, 2022 | 10 | 2022 |
| Multi-view graph convolutional network for cancer cell-specific synthetic lethality prediction K Fan, S Tang, B Gökbağ, L Cheng, L Li Frontiers in Genetics 13, 1103092, 2023 | 5 | 2023 |
| Pseudo2GO: a graph-based deep learning method for pseudogene function prediction by borrowing information from coding genes K Fan, Y Zhang Frontiers in Genetics 11, 807, 2020 | 5 | 2020 |
| SLKB: synthetic lethality knowledge base B Gökbağ, S Tang, K Fan, L Cheng, L Yu, Y Zhao, L Li Nucleic Acids Research 52 (D1), D1418-D1428, 2024 | 2 | 2024 |
| SLKB: Synthetic lethality knowledge base for gene combination double knockout experiments B Gökbağ, S Tang, K Fan, L Cheng, L Li Cancer Research 83 (7_Supplement), 6581-6581, 2023 | 1 | 2023 |
| PgenePapers: a novel database and search tools of reported regulatory pseudogenes A Awasthi, S Tan, TS Johnson, XM Mo, K Fan, Y Zhang International Journal of Computational Biology and Drug Design 13 (5-6), 504-519, 2020 | 1 | 2020 |
| CRISPR Double Knockout Library Reveals Synthetic Lethal Gene Pairs in Triple-Negative Breast Cancer S Shao, S Li, S Tang, K Fan, L Li bioRxiv, 2024.05. 14.594157, 2024 | | 2024 |
| Identifying Novel Therapeutic Targets for Overcoming TNBC Chemo Resistance Through Comprehensive CRISPR-Cas9 Genome Screening S Shao, S Li, S Tang, K Fan, L Li bioRxiv, 2024.05. 14.594192, 2024 | | 2024 |
| Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literature W Xie, K Fan, S Zhang, L Li Journal of Biomedical Semantics 14 (1), 5, 2023 | | 2023 |
| Multi-Layer Encoder Prediction of Gene Combination Effect (MLE-GeneCombo) Using CRISPR-Cas9 Double Knockout Data Y Shen, K Fan, B Gökbağ, Y Chen, L Cheng, L Li Available at SSRN 4700914, 0 | | |
