| scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses J Wang, A Ma, Y Chang, J Gong, Y Jiang, R Qi, C Wang, H Fu, Q Ma, ... Nature communications 12 (1), 1882, 2021 | 550 | 2021 |
| MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization D Wang, D Liu, J Yuchi, F He, Y Jiang, S Cai, J Li, D Xu Nucleic Acids Research 48 (W1), W140-W146, 2020 | 223 | 2020 |
| DM3Loc: multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism D Wang, Z Zhang, Y Jiang, Z Mao, D Wang, H Lin, D Xu Nucleic acids research 49 (8), e46-e46, 2021 | 134 | 2021 |
| Single-cell biological network inference using a heterogeneous graph transformer A Ma, X Wang, J Li, C Wang, T Xiao, Y Liu, H Cheng, J Wang, Y Li, ... Nature Communications 14 (1), 964, 2023 | 90 | 2023 |
| MULocDeep: a deep-learning framework for protein subcellular and suborganellar localization prediction with residue-level interpretation Y Jiang, D Wang, Y Yao, H Eubel, P Künzler, IM Møller, D Xu Computational and structural biotechnology journal 19, 4825-4839, 2021 | 78 | 2021 |
| Transcriptomics analysis reveals new insights into the roles of Notch1 signaling on macrophage polarization CP Hans, N Sharma, S Sen, S Zeng, R Dev, Y Jiang, A Mahajan, T Joshi Scientific reports 9 (1), 7999, 2019 | 28 | 2019 |
| Silencing AXL by covalent siRNA-gelatin-antibody nanoconjugate inactivates mTOR/EMT pathway and stimulates p53 for TKI sensitization in NSCLC D Suresh, A Zambre, S Mukherjee, S Ghoshdastidar, Y Jiang, T Joshi, ... Nanomedicine: Nanotechnology, Biology and Medicine 20, 102007, 2019 | 27 | 2019 |
| Computational methods for protein localization prediction Y Jiang, D Wang, W Wang, D Xu Computational and Structural Biotechnology Journal 19, 5834-5844, 2021 | 26 | 2021 |
| Essential protein identification based on essential protein–protein interaction prediction by integrated edge weights Y Jiang, Y Wang, W Pang, L Chen, H Sun, Y Liang, E Blanzieri Methods 83, 51-62, 2015 | 26 | 2015 |
| DeepDom: predicting protein domain boundary from sequence alone using stacked bidirectional LSTM Y Jiang, D Wang, D Xu Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 24, 66, 2019 | 19 | 2019 |
| MULocDeep web service for protein localization prediction and visualization at subcellular and suborganellar levels Y Jiang, L Jiang, CS Akhil, D Wang, Z Zhang, W Zhang, D Xu Nucleic Acids Research 51 (W1), W343-W349, 2023 | 16 | 2023 |
| S-PLM: Structure-aware Protein Language Model via Contrastive Learning between Sequence and Structure D Wang, M Pourmirzaei, UL Abbas, S Zeng, N Manshour, F Esmaili, ... bioRxiv, 2023.08. 06.552203, 2023 | 15 | 2023 |
| Single-cell RNA sequencing to characterize the response of pancreatic cancer to anti-PD-1 immunotherapy J Zhou, Y Jiang, Y Huang, Q Wang, JT Kaifi, ET Kimchi, CY Chabu, Z Liu, ... Translational Oncology 15 (1), 101262, 2022 | 14 | 2022 |
| Proteomic and bioinformatic profiling of transporters in higher plant mitochondria IM Møller, RSP Rao, Y Jiang, JJ Thelen, D Xu Biomolecules 10 (8), 1190, 2020 | 14 | 2020 |
| A dynamic programing approach to integrate gene expression data and network information for pathway model generation Y Jiang, Y Liang, D Wang, D Xu, T Joshi Bioinformatics 36 (1), 169-176, 2020 | 14 | 2020 |
| Deepmaps: Single-cell biological network inference using heterogeneous graph transformer A Ma, X Wang, C Wang, J Li, T Xiao, J Wang, Y Li, Y Liu, Y Chang, ... Biorxiv, 2021.10. 31.466658, 2021 | 13 | 2021 |
| BFDCA: A comprehensive tool of using Bayes factor for differential co-expression analysis D Wang, J Wang, Y Jiang, Y Liang, D Xu Journal of molecular biology 429 (3), 446-453, 2017 | 12 | 2017 |
| RDF sketch maps-knowledge complexity reduction for precision medicine analytics N Thanintorn, J Wang, I Ersoy, Z Al-Taie, Y Jiang, D Wang, M Verma, ... Biocomputing 2016: Proceedings of the Pacific Symposium, 417-428, 2016 | 12 | 2016 |
| A mouse model of prenatal exposure to Interleukin-6 to study the developmental origin of health and disease T Srivastava, T Joshi, DP Heruth, MH Rezaiekhaligh, RE Garola, J Zhou, ... Scientific Reports 11 (1), 13260, 2021 | 11 | 2021 |
| IMPRes-Pro: a high dimensional multiomics integration method for in silico hypothesis generation Y Jiang, D Wang, D Xu, T Joshi Methods 173, 16-23, 2020 | 11 | 2020 |
Dong XuCurators’ Distinguished Professor, University of Missouri確認したメール アドレス: missouri.edu