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Briefings in Bioinformatics|August 4, 2021
Artificial intelligence and machine learning methods in predicting anti-cancer drug combination effectsKunjie Fan, Lijun Cheng, Lang LiFrontiers in Genetics|January 26, 2023
Multi-view graph convolutional network for cancer cell-specific synthetic lethality predictionKunjie Fan, Shan Tang, Birkan Gökbağ, et al.Plos Computational Biology|October 3, 2025
A multi-layer encoder prediction model for individual sample specific gene combination effect (MLEC-iGeneCombo)Yun Shen, Kunjie Fan, Birkan Gökbağ, et al.Nucleic Acids Research|October 27, 2023
SLKB: synthetic lethality knowledge baseBirkan Gökbağ, Shan Tang, Kunjie Fan, et al.Briefings in Bioinformatics|August 29, 2024
Synthetic lethal connectivity and graph transformer improve synthetic lethality predictionKunjie Fan, Birkan Gökbağ, Shan Tang, et al.Frontiers in Genetics|December 19, 2022
Synthetic lethal gene pairs: Experimental approaches and predictive modelsShan Tang, Birkan Gökbağ, Kunjie Fan, et al.Journal of Biomedical Semantics|May 29, 2023
Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literatureWeixin Xie, Kunjie Fan, Shijun Zhang, et al.Biology|September 10, 2020
Essentiality and Transcriptome-Enriched Pathway Scores Predict Drug-Combination SynergyJin Li, Yang Huo, Xue Wu, et al.STAR Protocols|September 5, 2022
Generation of dual-gRNA library for combinatorial CRISPR screening of synthetic lethal gene pairsShan Tang, Xue Wu, Jinghui Liu, et al.Journal of the American Medical Informatics Association : JAMIA|April 24, 2016
A bioinformatics approach for precision medicine off-label drug drug selection among triple negative breast cancer patientsLijun Cheng, Bryan P Schneider, Lang LiPageof 81