Review of applications of high-throughput sequencing in personalized medicine: barriers and facilitators of future progress in research and clinical application G Lightbody, V Haberland, F Browne, L Taggart, H Zheng, E Parkes, ... Briefings in bioinformatics 20 (5), 1795-1811, 2019 | 195 | 2019 |
Applying kernel methods to argumentation mining N Rooney, H Wang, F Browne Twenty-Fifth International FLAIRS Conference, 2012 | 69 | 2012 |
The application of artificial intelligence in financial compliance management R Al-Shabandar, G Lightbody, F Browne, J Liu, H Wang, H Zheng Proceedings of the 2019 International Conference on Artificial Intelligence …, 2019 | 50 | 2019 |
From Experimental Approaches to Computational Techniques: A Review on the Prediction of Protein‐Protein Interactions F Browne, H Zheng, H Wang, F Azuaje Advances in Artificial Intelligence 2010 (1), 924529, 2010 | 50 | 2010 |
Prediction of chemical compounds properties using a deep learning model M Galushka, C Swain, F Browne, MD Mulvenna, R Bond, D Gray Neural Computing and Applications 33 (20), 13345-13366, 2021 | 33 | 2021 |
GRIP: A web-based system for constructing Gold Standard datasets for protein-protein interaction prediction F Browne, H Wang, H Zheng, F Azuaje Source code for biology and medicine 4 (1), 1-7, 2009 | 31 | 2009 |
Integrated metagenomic analysis of the rumen microbiome of cattle reveals key biological mechanisms associated with methane traits H Wang, H Zheng, F Browne, R Roehe, RJ Dewhurst, F Engel, M Hemmje, ... Methods 124, 108-119, 2017 | 30 | 2017 |
Supervised statistical and machine learning approaches to inferring pairwise and module-based protein interaction networks F Browne, H Wang, H Zheng, F Azuaje Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th …, 2007 | 23 | 2007 |
A comprehensive study on predicting functional role of metagenomes using machine learning methods JT Wassan, H Wang, F Browne, H Zheng IEEE/ACM transactions on computational biology and bioinformatics 16 (3 …, 2018 | 22 | 2018 |
A computational framework for the prioritization of disease-gene candidates F Browne, H Wang, H Zheng BMC genomics 16, 1-10, 2015 | 22 | 2015 |
Data-driven versus a domain-led approach to k-means clustering on an open heart failure dataset A Jasinska-Piadlo, R Bond, P Biglarbeigi, R Brisk, P Campbell, F Browne, ... International Journal of Data Science and Analytics 15 (1), 49-66, 2023 | 21 | 2023 |
A knowledge-driven probabilistic framework for the prediction of protein–protein interaction networks F Browne, H Wang, H Zheng, F Azuaje Computers in biology and medicine 40 (3), 306-317, 2010 | 20 | 2010 |
Multi-view fuzzy information fusion in collaborative filtering recommender systems: Application to the urban resilience domain I Palomares, F Browne, P Davis Data & Knowledge Engineering 113, 64-80, 2018 | 19 | 2018 |
Integrating textual analysis and evidential reasoning for decision making in engineering design F Browne, N Rooney, W Liu, D Bell, H Wang, PS Taylor, Y Jin Knowledge-Based Systems 52, 165-175, 2013 | 19 | 2013 |
Phy-PMRFI: phylogeny-aware prediction of metagenomic functions using random forest feature importance JT Wassan, H Wang, F Browne, H Zheng IEEE transactions on nanobioscience 18 (3), 273-282, 2019 | 18 | 2019 |
Minimum dominating sets in cell cycle specific protein interaction networks H Wang, H Zheng, F Browne, C Wang 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2014 | 17 | 2014 |
Integration of Gene Ontology-based similarities for supporting analysis of protein–protein interaction networks H Wang, H Zheng, F Browne, DH Glass, F Azuaje Pattern Recognition Letters 31 (14), 2073-2082, 2010 | 17 | 2010 |
PAAM-ML: a novel phylogeny and abundance aware machine learning modelling approach for microbiome classification JT Wassan, H Wang, F Browne, H Zheng 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 15 | 2018 |
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions F Browne, H Wang, H Zheng, F Azuaje Journal of Integrative Bioinformatics 3 (2), 2006 | 14 | 2006 |
Democratisation of usable machine learning in computer vision R Bond, A Koene, A Dix, J Boger, MD Mulvenna, M Galushka, BW Bradley, ... arXiv preprint arXiv:1902.06804, 2019 | 13 | 2019 |