| The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ... Genome biology 20 (1), 1-23, 2019 | 314 | 2019 |
| Systematic analysis of the gerontome reveals links between aging and age-related diseases M Fernandes, C Wan, R Tacutu, D Barardo, A Rajput, J Wang, H Thoppil, ... Human molecular genetics 25 (21), 4804-4818, 2016 | 93 | 2016 |
| Predicting human protein function with multi-task deep neural networks R Fa, D Cozzetto, C Wan, DT Jones PloS one 13 (6), e0198216, 2018 | 81 | 2018 |
| Predicting the Pro-longevity or Anti-longevity Effect of Model Organism Genes With New Hierarchical Feature Selection Methods C Wan, A Freitas, J de Magalhaes IEEE/ACM Transactions on Computational Biology and Bioinformatics 12 (2 …, 2015 | 48 | 2015 |
| Protein function prediction is improved by creating synthetic feature samples with generative adversarial networks C Wan, DT Jones Nature Machine Intelligence 2 (9), 540-550, 2020 | 45 | 2020 |
| An empirical evaluation of hierarchical feature selection methods for classification in bioinformatics datasets with gene ontology-based features C Wan, AA Freitas Artificial intelligence review 50, 201-240, 2018 | 36 | 2018 |
| Prediction of the Pro-longevity or Anti-longevity Effect of Caenorhabditis Elegans Genes Based on Bayesian Classification Methods C Wan, A Freitas Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on …, 2013 | 26 | 2013 |
| Two methods for constructing a gene ontology-based feature network for a Bayesian network classifier and applications to datasets of aging-related genes C Wan, AA Freitas Proceedings of the 6th ACM Conference on Bioinformatics, Computational …, 2015 | 20 | 2015 |
| Analysis of temporal transcription expression profiles reveal links between protein function and developmental stages of Drosophila melanogaster C Wan, JG Lees, F Minneci, CA Orengo, DT Jones PLoS Computational Biology 13 (10), e1005791, 2017 | 12 | 2017 |
| Feature selection paradigms C Wan, C Wan Hierarchical Feature Selection for Knowledge Discovery: Application of Data …, 2019 | 11 | 2019 |
| Using deep maxout neural networks to improve the accuracy of function prediction from protein interaction networks C Wan, D Cozzetto, R Fa, DT Jones PloS one 14 (7), e0209958, 2019 | 10 | 2019 |
| A new hierarchical redundancy eliminated tree augmented naive bayes classifier for coping with gene ontology-based features C Wan, AA Freitas arXiv preprint arXiv:1607.01690, 2016 | 10 | 2016 |
| Hierarchical feature selection for Knowledge discovery C Wan, Wan, Wheeler Springer International Publishing, 2019 | 9 | 2019 |
| Hierarchical dependency constrained averaged one-dependence estimators classifiers for hierarchical feature spaces C Wan, A Freitas International Conference on Probabilistic Graphical Models, 557-568, 2020 | 3 | 2020 |
| Positive feature values prioritized hierarchical redundancy eliminated tree augmented naive bayes classifier for hierarchical feature spaces C Wan 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 2 | 2022 |
| Novel hierarchical feature selection algorithms for predicting genes' aging-related function C Wan AI Matters 2 (3), 23-24, 2016 | 2 | 2016 |
| Novel hierarchical feature selection methods for classification and their application to datasets of ageing-related genes C Wan PQDT-UK & Ireland, 2015 | 2 | 2015 |
| Positive feature values prioritized hierarchical dependency constrained averaged one-dependence estimators for gene ontology feature spaces C Wan 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 1 | 2022 |
| Improving protein function prediction with synthetic feature samples created by generative adversarial networks C Wan, DT Jones bioRxiv, 730143, 2019 | 1 | 2019 |
| Data Mining Tasks and Paradigms C Wan, C Wan Hierarchical Feature Selection for Knowledge Discovery: Application of Data …, 2019 | 1 | 2019 |
Freitas, Alex A.Professor of Computational Intelligence, University of KentVerified email at kent.ac.uk
