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Fiona Browne
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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
1032019
Applying kernel methods to argumentation mining
N Rooney, H Wang, F Browne
Twenty-Fifth International FLAIRS Conference, 2012
612012
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 (16877470), 2010
392010
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
312009
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
192017
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
192010
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
182018
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
182007
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
172013
A computational framework for the prioritization of disease-gene candidates
F Browne, H Wang, H Zheng
BMC genomics 16 (9), 1-10, 2015
162015
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
162014
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
162010
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
142018
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
142006
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
122019
Investigating the impact human protein–protein interaction networks have on disease-gene analysis
F Browne, H Wang, H Zheng
International Journal of Machine Learning and Cybernetics 9 (3), 455-464, 2018
92018
Data mining and machine learning approaches for prediction modelling of schistosomiasis disease vectors
T Fusco, Y Bi, H Wang, F Browne
International Journal of Machine Learning and Cybernetics 11 (6), 1159-1178, 2020
72020
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
72019
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
72018
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
62021
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Articles 1–20