| 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, 1-23, 2019 | 426 | 2019 |
| Predicting human protein function with multi-task deep neural networks R Fa, D Cozzetto, C Wan, DT Jones PloS one 13 (6), e0198216, 2018 | 101 | 2018 |
| 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 | 101 | 2016 |
| 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 | 73 | 2020 |
| 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 | 53 | 2015 |
| 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 | 45 | 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 | 25 | 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 | 21 | 2015 |
| 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 | 17 | 2019 |
| 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 | 14 | 2017 |
| Feature selection paradigms C Wan, C Wan Hierarchical Feature Selection for Knowledge Discovery: Application of Data …, 2019 | 13 | 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 | 11 | 2016 |
| Hierarchical feature selection for Knowledge discovery C Wan, Wan, Wheeler Springer International Publishing, 2019 | 10 | 2019 |
| A community effort to optimize sequence-based deep learning models of gene regulation AM Rafi, D Nogina, D Penzar, D Lee, D Lee, N Kim, S Kim, D Kim, Y Shin, ... Nature biotechnology, 1-11, 2024 | 5 | 2024 |
| Evaluation and optimization of sequence-based gene regulatory deep learning models AM Rafi, D Penzar, D Nogina, D Lee, ED Vaishnav, D Lee, N Kim, S Kim, ... bioRxiv, 2023 | 5 | 2023 |
| 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 | 5 | 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 | 4 | 2022 |
| 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 | 3 | 2022 |
| Improving cell-type identification with Gaussian noise-augmented single-cell RNA-seq contrastive learning I Alsaggaf, D Buchan, C Wan Briefings in Functional Genomics, elad059, 2024 | 2 | 2024 |
| Novel hierarchical feature selection algorithms for predicting genes' aging-related function C Wan AI Matters 2 (3), 23-24, 2016 | 2 | 2016 |
Freitas, Alex A.Professor of Computational Intelligence, University of KentVerifierad e-postadress på kent.ac.uk
