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Roger J. Daly
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2020 – today
- 2023
- [j8]Zhikang Wang, Yue Bi, Tong Pan, Xiaoyu Wang, Chris Bain, Richard Bassed, Seiya Imoto
, Jianhua Yao, Roger J. Daly, Jiangning Song
Targeting tumor heterogeneity: multiplex-detection-based multiple instance learning for whole slide image classification. Bioinform. 39(3) (2023) - [j7]Zhikang Wang
Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images. Comput. Methods Programs Biomed. 241: 107733 (2023) - 2022
- [j6]Yanan Wang, Changyuan Hu
DEMoS: a deep learning-based ensemble approach for predicting the molecular subtypes of gastric adenocarcinomas from histopathological images. Bioinform. 38(17): 4206-4213 (2022) - 2021
- [j5]Yanan Wang, Nicolas Coudray, Yun Zhao
HEAL: an automated deep learning framework for cancer histopathology image analysis. Bioinform. 37(22): 4291-4295 (2021) - 2020
- [j4]Zhen Chen
iLearn : an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data. Briefings Bioinform. 21(3): 1047-1057 (2020)
2010 – 2019
- 2019
- [j3]Fuyi Li
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods. Briefings Bioinform. 20(6): 2150-2166 (2019) - 2018
- [j2]Zhen Chen
iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences. Bioinform. 34(14): 2499-2502 (2018) - [j1]Fuyi Li
Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome. Bioinform. 34(24): 4223-4231 (2018)
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