| Identifying drug–target interactions based on graph convolutional network and deep neural network T Zhao, Y Hu, LR Valsdottir, T Zang, J Peng Briefings in bioinformatics 22 (2), 2141-2150, 2021 | 217 | 2021 |
| DeepLGP: a novel deep learning method for prioritizing lncRNA target genes T Zhao, Y Hu, J Peng, L Cheng Bioinformatics 36 (16), 4466-4472, 2020 | 106 | 2020 |
| SC2disease: a manually curated database of single-cell transcriptome for human diseases T Zhao, S Lyu, G Lu, L Juan, X Zeng, Z Wei, J Hao, J Peng Nucleic Acids Research 49 (D1), D1413-D1419, 2021 | 70 | 2021 |
| Identifying diseases-related metabolites using random walk Y Hu, T Zhao, N Zhang, T Zang, J Zhang, L Cheng BMC bioinformatics 19, 37-46, 2018 | 59 | 2018 |
| Deep-DRM: a computational method for identifying disease-related metabolites based on graph deep learning approaches T Zhao, Y Hu, L Cheng Briefings in Bioinformatics 22 (4), bbaa212, 2021 | 56 | 2021 |
| Prediction and collection of protein–metabolite interactions T Zhao, J Liu, X Zeng, W Wang, S Li, T Zang, J Peng, Y Yang Briefings in Bioinformatics 22 (5), bbab014, 2021 | 55 | 2021 |
| Integrate GWAS, eQTL, and mQTL data to identify Alzheimer’s disease-related genes T Zhao, Y Hu, T Zang, Y Wang Frontiers in genetics 10, 1021, 2019 | 50 | 2019 |
| Identification of Alzheimer's disease-related genes based on data integration method Y Hu, T Zhao, T Zang, Y Zhang, L Cheng Frontiers in genetics 9, 703, 2019 | 43 | 2019 |
| A review of recent advances and research on drug target identification methods Y Hu, T Zhao, N Zhang, Y Zhang, L Cheng Current drug metabolism 20 (3), 209-216, 2019 | 30 | 2019 |
| Metabolomic profiles and heart failure risk in black adults: insights from the Jackson Heart Study UA Tahir, DH Katz, T Zhao, D Ngo, DE Cruz, JM Robbins, ZZ Chen, ... Circulation: Heart Failure 14 (1), e007275, 2021 | 27 | 2021 |
| MRTFB regulates the expression of NOMO1 in colon T Zhao, Y Hu, T Zang, L Cheng Proceedings of the National Academy of Sciences 117 (14), 7568-7569, 2020 | 25 | 2020 |
| gutMDisorder v2. 0: a comprehensive database for dysbiosis of gut microbiota in phenotypes and interventions C Qi, Y Cai, K Qian, X Li, J Ren, P Wang, T Fu, T Zhao, L Cheng, L Shi, ... Nucleic acids research 51 (D1), D717-D722, 2023 | 22 | 2023 |
| Peptide-major histocompatibility complex class I binding prediction based on deep learning with novel feature T Zhao, L Cheng, T Zang, Y Hu Frontiers in Genetics 10, 491805, 2019 | 22 | 2019 |
| Reduction in TOM1 expression exacerbates Alzheimer’s disease J Peng, T Zhao Proceedings of the National Academy of Sciences 117 (8), 3915-3916, 2020 | 20 | 2020 |
| Identifying Alzheimer’s disease-related proteins by LRRGD T Zhao, Y Hu, T Zang, L Cheng BMC bioinformatics 20, 1-9, 2019 | 14 | 2019 |
| Multiple mutations of IFITM3 are associated with COVID-19 susceptibilityregulation function of IFITM3 in COVID-19 H Guo, T Zhao Journal of Infection 86 (6), 614-616, 2023 | 11 | 2023 |
| DRACP: a novel method for identification of anticancer peptides T Zhao, Y Hu, T Zang BMC bioinformatics 21, 1-11, 2020 | 10 | 2020 |
| A novel method to identify pre-microRNA in various species knowledge base on various species T Zhao, N Zhang, Y Zhang, J Ren, P Xu, Z Liu, L Cheng, Y Hu Journal of Biomedical Semantics 8, 53-59, 2017 | 9 | 2017 |
| Identifying Alzheimer’s disease-related miRNA based on semi-clustering T Zhao, D Wang, Y Hu, N Zhang, T Zang, Y Wang Current Gene Therapy 19 (4), 216-223, 2019 | 8 | 2019 |
| Identification of immune cell function in breast cancer by integrating multiple single-cell data L Zhang, Q Qin, C Xu, N Zhang, T Zhao Frontiers in Immunology 13, 1058239, 2022 | 3 | 2022 |
