Claudio Angione
Claudio Angione
Associate Professor in Computer Science, Teesside University
Verified email at tees.ac.uk - Homepage
Title
Cited by
Cited by
Year
Seeing the wood for the trees: a forest of methods for optimisation and omic-network integration in metabolic modelling
S Vijayakumar, M Conway, P Lió, C Angione
Briefings in Bioinformatics, 2017
114*2017
Machine and deep learning meet genome-scale metabolic modelling
G Zampieri, S Vijayakumar, E Yaneske, C Angione
PLoS Computational Biology 15 (7), e1007084, 2019
892019
Robust design of microbial strains
J Costanza, G Carapezza, C Angione, P Lió, G Nicosia
Bioinformatics 28 (23), 3097-3104, 2012
612012
Multiplex methods provide effective integration of multi-omic data in genome-scale models
C Angione, M Conway, P Lió
BMC bioinformatics 17 (4), 257-269, 2016
502016
Predictive analytics of environmental adaptability in multi-omic network models
C Angione, P Lió
Scientific reports 5, 2015
492015
Human Systems Biology and Metabolic Modelling: A Review—From Disease Metabolism to Precision Medicine
C Angione
BioMed Research International 2019, 2019
272019
Making life difficult for Clostridium difficile: augmenting the pathogen’s metabolic model with transcriptomic and codon usage data for better therapeutic target characterization
SS Kashaf, C Angione, P Lió
BMC systems biology 11 (1), 1-13, 2017
202017
Making life difficult for Clostridium difficile: augmenting the pathogen’s metabolic model with transcriptomic and codon usage data for better therapeutic target characterization
SS Kashaf, C Angione, P Lió
BMC systems biology 11 (1), 1-13, 2017
202017
A hybrid of metabolic flux analysis and bayesian factor modeling for multiomic temporal pathway activation
C Angione, N Pratanwanich, P Lió
ACS synthetic biology 4 (8), 880-889, 2015
202015
Integrating splice-isoform expression into genome-scale models characterizes breast cancer metabolism
C Angione
Bioinformatics 34 (3), 494–501, 2018
192018
Computational Methods in Systems Biology
L Cardelli, J Despeyroux, R Grosu, J Hillston, E Bartocci, P Liň, N Paole, ...
182016
Pareto optimality in organelle energy metabolism analysis
C Angione, G Carapezza, J Costanza, P Lió, G Nicosia
IEEE/ACM transactions on computational biology and bioinformatics 10 (4 …, 2013
172013
Bioinformatics Challenges and Potentialities in Studying Extreme Environments
C Angione, P Liň, S Pucciarelli, B Can, M Conway, M Lotti, H Bokhari, ...
International Meeting on Computational Intelligence Methods for …, 2016
15*2016
Situating agent-based modelling in population health research
E Silverman, U Gostoli, S Picascia, J Almagor, M McCann, R Shaw, ...
Emerging Themes in Epidemiology 18 (1), 1-15, 2021
142021
Multi-target analysis and design of mitochondrial metabolism
C Angione, J Costanza, G Carapezza, P Lió, G Nicosia
PloS one 10 (9), e0133825, 2015
142015
Optimization of multi-omic genome-scale models: Methodologies, hands-on tutorial, and perspectives
S Vijayakumar, M Conway, P Lió, C Angione
Metabolic Network Reconstruction and Modeling, 389-408, 2018
132018
Optimization of Multi-Omic Genome-Scale Models: Methodologies, Hands-on Tutorial, and Perspectives
S Vijayakumar, M Conway, P Lió, C Angione
Metabolic Network Reconstruction and Modeling, 389-408, 2018
132018
Bioremediation in marine ecosystems: a computational study combining ecological modelling and flux balance analysis
M Taffi, N Paoletti, C Angione, S Pucciarelli, M Marini, P Lió
Frontiers in Genetics 5 (319), 2014
132014
Computing with metabolic machines
C Angione, G Carapezza, J Costanza, P Lió, G Nicosia
Turing-100. Volume 10 of EPiC Series 10, 1-15, 2012
132012
The poly-omics of ageing through individual-based metabolic modelling
E Yaneske, C Angione
BMC Bioinformatics 19 (14), 415, 2018
122018
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