| MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification T Wang, W Shao, Z Huang, H Tang, J Zhang, Z Ding, K Huang Nature Communications 12 (1), 3445, 2021 | 218 | 2021 |
| SALMON: survival analysis learning with multi-omics neural networks on breast cancer Z Huang, X Zhan, S Xiang, TS Johnson, B Helm, CY Yu, J Zhang, ... Frontiers in genetics 10, 166, 2019 | 187 | 2019 |
| A visual–language foundation model for pathology image analysis using medical twitter Z Huang, F Bianchi, M Yuksekgonul, TJ Montine, J Zou Nature medicine 29 (9), 2307-2316, 2023 | 105 | 2023 |
| Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations Z Huang, TS Johnson, Z Han, B Helm, S Cao, C Zhang, P Salama, ... BMC medical genomics 13, 1-12, 2020 | 72 | 2020 |
| A graph neural network model to estimate cell-wise metabolic flux using single-cell RNA-seq data N Alghamdi, W Chang, P Dang, X Lu, C Wan, S Gampala, Z Huang, ... Genome research 31 (10), 1867-1884, 2021 | 65 | 2021 |
| Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers W Shao, T Wang, L Sun, T Dong, Z Han, Z Huang, J Zhang, D Zhang, ... Medical image analysis 65, 101795, 2020 | 53 | 2020 |
| Weakly supervised deep ordinal cox model for survival prediction from whole-slide pathological images W Shao, T Wang, Z Huang, Z Han, J Zhang, K Huang IEEE Transactions on Medical Imaging 40 (12), 3739-3747, 2021 | 43 | 2021 |
| LAmbDA: label ambiguous domain adaptation dataset integration reduces batch effects and improves subtype detection TS Johnson, T Wang, Z Huang, CY Yu, Y Wu, Y Han, Y Zhang, K Huang, ... Bioinformatics 35 (22), 4696-4706, 2019 | 39 | 2019 |
| Correlation analysis of histopathology and proteogenomics data for breast cancer X Zhan, J Cheng, Z Huang, Z Han, B Helm, X Liu, J Zhang, TF Wang, D Ni, ... Molecular & Cellular Proteomics 18 (8), S37-S51, 2019 | 32 | 2019 |
| Condition-specific gene co-expression network mining identifies key pathways and regulators in the brain tissue of Alzheimer’s disease patients S Xiang, Z Huang, T Wang, Z Han, CY Yu, D Ni, K Huang, J Zhang BMC medical genomics 11, 39-51, 2018 | 28 | 2018 |
| Artificial intelligence reveals features associated with breast cancer neoadjuvant chemotherapy responses from multi-stain histopathologic images Z Huang, W Shao, Z Han, AM Alkashash, C De la Sancha, AV Parwani, ... NPJ Precision Oncology 7 (1), 14, 2023 | 27 | 2023 |
| Pedestrian protection using the integration of V2V and the Pedestrian Automatic Emergency Braking System B Tang, S Chien, Z Huang, Y Chen 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 27 | 2016 |
| MORONET: multi-omics integration via graph convolutional networks for biomedical data classification T Wang, W Shao, Z Huang, H Tang, J Zhang, Z Ding, K Huang bioRxiv, 2020.07. 02.184705, 2020 | 26 | 2020 |
| Identification of potential key long non-coding RNAs and target genes associated with pneumonia using long non-coding RNA sequencing (lncRNA-Seq): a preliminary study S Huang, C Feng, L Chen, Z Huang, X Zhou, B Li, L Wang, W Chen, F Lv, ... Medical Science Monitor: International Medical Journal of Experimental and …, 2016 | 24 | 2016 |
| Systematic pan-cancer analysis of mutation–treatment interactions using large real-world clinicogenomics data R Liu, S Rizzo, S Waliany, MR Garmhausen, N Pal, Z Huang, ... Nature Medicine 28 (8), 1656-1661, 2022 | 22 | 2022 |
| PseudoFuN: Deriving functional potentials of pseudogenes from integrative relationships with genes and microRNAs across 32 cancers TS Johnson, S Li, E Franz, Z Huang, S Dan Li, MJ Campbell, K Huang, ... Gigascience 8 (5), giz046, 2019 | 18 | 2019 |
| Diagnostic Evidence GAuge of Single cells (DEGAS): a flexible deep transfer learning framework for prioritizing cells in relation to disease TS Johnson, CY Yu, Z Huang, S Xu, T Wang, C Dong, W Shao, MA Zaid, ... Genome medicine 14 (1), 11, 2022 | 16 | 2022 |
| Prognostic significance of mixed-lineage leukemia (MLL) gene detected by real-time fluorescence quantitative PCR assay in acute myeloid leukemia S Huang, H Yang, Y Li, C Feng, L Gao, G Chen, H Gao, Z Huang, Y Li, ... Medical Science Monitor: International Medical Journal of Experimental and …, 2016 | 16 | 2016 |
| Combinatorial analyses reveal cellular composition changes have different impacts on transcriptomic changes of cell type specific genes in Alzheimer’s Disease TS Johnson, S Xiang, T Dong, Z Huang, M Cheng, T Wang, K Yang, D Ni, ... Scientific Reports 11 (1), 353, 2021 | 14 | 2021 |
| TSUNAMI: translational bioinformatics tool suite for network analysis and mining Z Huang, Z Han, T Wang, W Shao, S Xiang, P Salama, M Rizkalla, ... Genomics, Proteomics and Bioinformatics 19 (6), 1023-1031, 2021 | 13 | 2021 |
