Miguel Rocha
Miguel Rocha
Associate Professor, Dept. Informatics and Centre Biological Engineering, Universidade do Minho
Verified email at di.uminho.pt
Cited by
Cited by
OptFlux: an open-source software platform for in silico metabolic engineering
I Rocha, P Maia, P Evangelista, P Vilaça, S Soares, JP Pinto, J Nielsen, ...
BMC systems biology 4 (1), 1-12, 2010
Particle swarms for feedforward neural network training
R Mendes, P Cortez, M Rocha, J Neves
Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002
Modeling formalisms in systems biology
D Machado, RS Costa, M Rocha, EC Ferreira, B Tidor, I Rocha
AMB express 1 (1), 1-14, 2011
Multi‐scale Internet traffic forecasting using neural networks and time series methods
P Cortez, M Rio, M Rocha, P Sousa
Expert Systems 29 (2), 143-155, 2012
Natural computation meta-heuristics for the in silico optimization of microbial strains
M Rocha, P Maia, R Mendes, JP Pinto, EC Ferreira, J Nielsen, KR Patil, ...
BMC bioinformatics 9 (1), 1-16, 2008
Preventing premature convergence to local optima in genetic algorithms via random offspring generation
M Rocha, J Neves
International Conference on Industrial, Engineering and Other Applications …, 1999
Internet traffic forecasting using neural networks
P Cortez, M Rio, M Rocha, P Sousa
The 2006 IEEE international joint conference on neural network proceedings …, 2006
Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open …
J Guinney, T Wang, TD Laajala, KK Winner, JC Bare, EC Neto, SA Khan, ...
The Lancet Oncology 18 (1), 132-142, 2017
Evolution of neural networks for classification and regression
M Rocha, P Cortez, J Neves
Neurocomputing 70 (16-18), 2809-2816, 2007
Evolving time series forecasting ARMA models
P Cortez, M Rocha, J Neves
Journal of Heuristics 10 (4), 415-429, 2004
Metabolomics combined with chemometric tools (PCA, HCA, PLS-DA and SVM) for screening cassava (Manihot esculenta Crantz) roots during postharvest physiological deterioration
VG Uarrota, R Moresco, B Coelho, E da Costa Nunes, LAM Peruch, ...
Food Chemistry 161, 67-78, 2014
Bridging the layers: towards integration of signal transduction, regulation and metabolism into mathematical models
E Gonçalves, J Bucher, A Ryll, J Niklas, K Mauch, S Klamt, M Rocha, ...
Molecular BioSystems 9 (7), 1576-1583, 2013
In silico constraint-based strain optimization methods: the quest for optimal cell factories
P Maia, M Rocha, I Rocha
Microbiology and Molecular Biology Reviews 80 (1), 45-67, 2016
Reconstructing genome-scale metabolic models with merlin
O Dias, M Rocha, EC Ferreira, I Rocha
Nucleic acids research 43 (8), 3899-3910, 2015
Transcript level and sequence determinants of protein abundance and noise in Escherichia coli
JC Guimaraes, M Rocha, AP Arkin
Nucleic acids research 42 (8), 4791-4799, 2014
@ Note: a workbench for biomedical text mining
A Lourenço, R Carreira, S Carneiro, P Maia, D Glez-Peña, ...
Journal of biomedical informatics 42 (4), 710-720, 2009
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ...
Nature communications 10 (1), 1-17, 2019
Optimization of fed-batch fermentation processes with bio-inspired algorithms
M Rocha, R Mendes, O Rocha, I Rocha, EC Ferreira
Expert Systems with Applications 41 (5), 2186-2195, 2014
AIBench: a rapid application development framework for translational research in biomedicine
D Glez-Peña, M Reboiro-Jato, P Maia, M Rocha, F Díaz, F Fdez-Riverola
Computer methods and programs in biomedicine 98 (2), 191-203, 2010
Evolutionary neural network learning
M Rocha, P Cortez, J Neves
Portuguese Conference on Artificial Intelligence, 24-28, 2003
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