| Assessment of network module identification across complex diseases S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ... Nature Methods 16 (9), 843-852, 2019 | 136 | 2019 |
| miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase T Xu, N Su, L Liu, J Zhang, H Wang, W Zhang, J Gui, K Yu, J Li, TD Le BMC Bioinformatics 19 (19), 179-188, 2018 | 39 | 2018 |
| Mining heterogeneous causal effects for personalized cancer treatment W Zhang, TD Le, L Liu, ZH Zhou, J Li Bioinformatics 33 (15), 2372-2378, 2017 | 37 | 2017 |
| A unified survey of treatment effect heterogeneity modeling and uplift modeling W Zhang, J Li, L Liu ACM Computing Surveys (CSUR) 54 (8), Article 162, 2021 | 20 | 2021 |
| Open community challenge reveals molecular network modules with key roles in diseases S Choobdar, M Ahsen, J Crawford, M Tomasoni, D Lamparter, J Lin, ... | 19 | 2018 |
| Predicting miRNA targets by integrating gene regulatory knowledge with expression profiles W Zhang, TD Le, L Liu, ZH Zhou, J Li PloS One 11 (4), e0152860, 2016 | 17 | 2016 |
| Multi-Instance Learning with Distribution Change. W Zhang, ZH Zhou AAAI 2014 - The 28th AAAI Conference on Artificial Intelligence, 2184-2190, 2014 | 15 | 2014 |
| Treatment effect estimation with disentangled latent factors W Zhang, L Liu, J Li AAAI 2021 - The 35th AAAI Conference on Artificial Intelligence, 10923-10930, 2021 | 12 | 2021 |
| Large expert-curated database for benchmarking document similarity detection in biomedical literature search P Brown, AC Tan, MA El-Esawi, T Liehr, O Blanck, DP Gladue, ... Database 2019, baz085, 2019 | 10 | 2019 |
| MONET: a toolbox integrating top-performing methods for network modularization M Tomasoni, S Gómez, J Crawford, W Zhang, S Choobdar, D Marbach, ... Bioinformatics 36 (12), 3920-3921, 2020 | 8 | 2020 |
| Robust Multi-Instance Learning with Stable Instances W Zhang, L Liu, J Li ECAI 2020 - the 24th European Conference on Artificial Intelligence, 1682-1689, 2020 | 7* | 2020 |
| Estimating heterogeneous treatment effect by balancing heterogeneity and fitness W Zhang, TD Le, L Liu, J Li BMC Bioinformatics 19 (19), 518, 2018 | 4 | 2018 |
| Non-i.i.d. multi-instance learning for predicting instance and bag labels using variational autoencoder W Zhang IJCAI 2021 - The 30th International Joint Conference on Artificial …, 2021 | 3 | 2021 |
| A general framework for causal classification J Li, W Zhang, L Liu, K Yu, TD Le, J Liu International Journal of Data Science and Analytics 11 (2), 127-139, 2021 | 2 | 2021 |
| Towards Learning Causal Representations from Multi-Instance Bags W Zhang, X Zhang, H Deng, ML Zhang arXiv preprint arXiv:2202.12570, 2022 | | 2022 |
| Supplementary Information-MONET M Tomasoni, S Gómez, J Crawford, W Zhang | | |
Lin LiuUniversity of South AustraliaVerified email at unisa.edu.au
