| DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data OB Poirion, Z Jing, K Chaudhary, S Huang, LX Garmire Genome medicine 13, 1-15, 2021 | 174 | 2021 |
| Two-stage Cox-nnet: biologically interpretable neural-network model for prognosis prediction and its application in liver cancer survival using histopathology and … Z Zhan, Z Jing, B He, N Hosseini, M Westerhoff, EY Choi, LX Garmire NAR genomics and bioinformatics 3 (1), lqab015, 2021 | 20 | 2021 |
| Cox-nnet v2. 0: improved neural-network-based survival prediction extended to large-scale EMR data D Wang, Z Jing, K He, LX Garmire Bioinformatics 37 (17), 2772-2774, 2021 | 15 | 2021 |
| DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data. Genome Med 13: 112 OB Poirion, Z Jing, K Chaudhary, S Huang, LX Garmire | 6 | 2021 |
| DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data. Genome Med. 2021; 13 (1): 112 OB Poirion, Z Jing, K Chaudhary, S Huang, LX Garmire Epub 2021/07/16. https://doi. org/10.1186/s13073-021-00930-x PMID: 34261540, 0 | 5 | |
| Benchmarking computational integration methods for spatial transcriptomics data Y Li, S Stanojevic, B He, Z Jing, Q Huang, J Kang, LX Garmire bioRxiv, 2021.08. 27.457741, 2021 | 4 | 2021 |
| Two-stage biologically interpretable neural-network models for liver cancer prognosis prediction using histopathology and transcriptomic data Z Zhan, Z Jing, B He, N Hosseini, M Westerhoff, EY Choi, LX Garmire medRxiv, 2020.01. 25.20016832, 2020 | 1 | 2020 |
| Adding Highly Variable Genes to Spatially Variable Genes Can Improve Cell Type Clustering Performance in Spatial Transcriptomics Data Y Li, S Stanojevic, B He, Z Jing, Q Huang, J Kang, LX Garmire | | 2024 |
| Multi-omic and survival datasets used for “DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data”. figshare. 2021 O Poirion, LX Garmire, K Chaudhary, S Huang, Z Jing | | |