| 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), 1-13, 2021 | 333 | 2021 |
| Development and interpretation of a pathomics-based model for the prediction of microsatellite instability in Colorectal Cancer R Cao, F Yang, SC Ma, L Liu, Y Zhao, Y Li, DH Wu, T Wang, WJ Lu, ... Theranostics 10 (24), 11080, 2020 | 153 | 2020 |
| BERMUDA: a novel deep transfer learning method for single-cell RNA sequencing batch correction reveals hidden high-resolution cellular subtypes T Wang, TS Johnson, W Shao, Z Lu, BR Helm, J Zhang, K Huang Genome biology 20 (1), 1-15, 2019 | 120 | 2019 |
| Integrative analysis of pathological images and multi-dimensional genomic data for early-stage cancer prognosis W Shao, Z Han, J Cheng, L Cheng, T Wang, L Sun, Z Lu, J Zhang, ... IEEE transactions on medical imaging 39 (1), 99-110, 2019 | 73 | 2019 |
| 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 | 61 | 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 | 60 | 2020 |
| Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge SK Sieberts, J Schaff, M Duda, BÁ Pataki, M Sun, P Snyder, JF Daneault, ... NPJ digital medicine 4 (1), 1-12, 2021 | 48 | 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 | 46 | 2019 |
| 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 | 40 | 2023 |
| Microsatellite Instability Prediction of Uterine Corpus Endometrial Carcinoma Based on H&E Histology Whole-Slide Imaging T Wang, W Lu, F Yang, L Liu, Z Dong, W Tang, J Chang, W Huan, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1289-1292, 2020 | 28 | 2020 |
| 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 | 20 | 2022 |
| Topological Methods for Visualization and Analysis of High Dimensional Single-Cell RNA Sequencing Data. T Wang, T Johnson, J Zhang, K Huang Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 24, 350-361, 2019 | 19 | 2019 |
| Towards Fair Cross-Domain Adaptation via Generative Learning T Wang, Z Ding, W Shao, H Tang, K Huang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 15 | 2021 |
| Diagnosis-guided multi-modal feature selection for prognosis prediction of lung squamous cell carcinoma W Shao, T Wang, Z Huang, J Cheng, Z Han, D Zhang, K Huang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 15 | 2019 |
| 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 & Bioinformatics 19 (6), 1023-1031, 2021 | 13 | 2021 |
| SPCS: a spatial and pattern combined smoothing method for spatial transcriptomic expression Y Liu, T Wang, B Duggan, M Sharpnack, K Huang, J Zhang, X Ye, ... Briefings in Bioinformatics 23 (3), bbac116, 2022 | 12 | 2022 |
| Generalized gene co-expression analysis via subspace clustering using low-rank representation T Wang, J Zhang, K Huang BMC bioinformatics 20 (7), 17-27, 2019 | 12 | 2019 |
| Diagnostic Evidence GAuge of Single cells (DEGAS): A transfer learning framework to infer impressions of cellular and patient phenotypes between patients and single cells TS Johnson, CY Yu, Z Huang, S Xu, T Wang, C Dong, W Shao, MA Zaid, ... bioRxiv, 2020.06. 16.142984, 2020 | 1 | 2020 |
| Differential Gene Expression and Functional Enrichment Analysis of Smoothed PDAC Spatial Transcriptomics Slides B Duggan, Y Liu, T Wang, J Zhang, TS Johnson, X Ye, K Huang Proceedings of IMPRS 4 (1), 2021 | | 2021 |
| Machine Learning Based Classification from Whole-Slide Histopathological Images Enables Reliable and Interpretable Diagnosis of Inverted Urothelial Papilloma W Shao, M Cheng, Z Huang, Z Han, T Wang, A Lopez-Beltran, ... Available at SSRN 3959161, 2021 | | 2021 |
Kun HuangProf. and Chair of Biostatistics and Health Data Science; IUSM PHI Endowed ChairVerified email at iu.edu
