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ORCIDMiguel Rocha 0001
Miguel P. Rocha 0001 – Miguel Francisco de Almeida Pereira da Rocha
Person information
- affiliation: University of Minho, Center of Biological Engineering, Braga, Portugal
Other persons with the same name
- Miguel Rocha 0002 — University of Aveiro, Portugal
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2020 – today
- 2024
[j61]Tânia Barata
, Vítor Pereira, Ricardo Pires das Neves, Miguel Rocha:
Reconstruction of cell-specific models capturing the influence of metabolism on DNA methylation in cancer. Comput. Biol. Medicine 170: 108052 (2024)- [j60]Fernando Cruz, João Capela, Eugénio C. Ferreira, Miguel Rocha, Oscar Días:
BioISO: An Objective-Oriented Application for Assisting the Curation of Genome-Scale Metabolic Models. IEEE ACM Trans. Comput. Biol. Bioinform. 21(2): 215-226 (2024) - 2023
- [j59]Delora Baptista, Pedro G. Ferreira, Miguel Rocha:
A systematic evaluation of deep learning methods for the prediction of drug synergy in cancer. PLoS Comput. Biol. 19(3) (2023) - [j58]Emanuel Cunha, Miguel Silva, Inês Chaves, Hüseyin Demirci, Davide Lagoa, Diogo Lima, Miguel Rocha, Isabel Rocha, Oscar Días:
The first multi-tissue genome-scale metabolic model of a woody plant highlights suberin biosynthesis pathways in Quercus suber. PLoS Comput. Biol. 19(9) (2023) - [c123]Ana Marta Sequeira, Ivan Gomes, Miguel Rocha:
Word embeddings for protein sequence analysis. CIBCB 2023: 1-8 - [c122]João Correia, Vitor Pereira, Miguel Rocha:
Combining Evolutionary Algorithms with Reaction Rules Towards Focused Molecular Design. GECCO 2023: 900-909 - [c121]Diego Troitiño-Jordedo, Lucas Carvalho, David Henriques, Vítor Pereira, Miguel Rocha, Eva Balsa-Canto:
A New GIMME-Based Heuristic for Compartmentalised Transcriptomics Data Integration. PACBB 2023: 44-52 - [e16]Florentino Fdez-Riverola, Miguel Rocha, Mohd Saberi Mohamad, Simona Caraiman, Ana Belén Gil González:
Practical Applications of Computational Biology and Bioinformatics, 16th International Conference (PACBB 2022), 13-15 July, 2022, L'Aquila, Italy. Lecture Notes in Networks and Systems 553, Springer 2023, ISBN 978-3-031-17023-2 [contents] - [e15]Miguel Rocha, Florentino Fdez-Riverola, Mohd Saberi Mohamad, Ana Belén Gil González:
Practical Applications of Computational Biology and Bioinformatics, 17th International Conference (PACBB 2023), 12th-14th July, 2023, Guimarães, Portugal. Lecture Notes in Networks and Systems 743, Springer 2023, ISBN 978-3-031-38078-5 [contents] - 2022
- [j57]Tânia Barata, Vítor Vieira, Rúben Rodrigues, Ricardo Pires das Neves, Miguel Rocha:
Reconstruction of tissue-specific genome-scale metabolic models for human cancer stem cells. Comput. Biol. Medicine 142: 105177 (2022) - [j56]Elsa Costa e Silva, Teresa Lino-Neto, Eugénia Ribeiro, Miguel Rocha, Manuel João Costa:
Going virtual and going wide: comparing Team-Based Learning in-class versus online and across disciplines. Educ. Inf. Technol. 27(2): 2311-2329 (2022) - [j55]Ana Marta Sequeira, Diana Lousa, Miguel Rocha:
ProPythia: A Python package for protein classification based on machine and deep learning. Neurocomputing 484: 172-182 (2022) - [j54]Delora Baptista, João Correia, Bruno Pereira, Miguel Rocha:
Evaluating molecular representations in machine learning models for drug response prediction and interpretability. J. Integr. Bioinform. 19(3) (2022) - [j53]Vitor Pereira, Pedro Sousa, Miguel Rocha:
A comparison of multi-objective optimization algorithms for weight setting problems in traffic engineering. Nat. Comput. 21(3): 507-522 (2022) - [j52]Vítor Vieira, Jorge Ferreira, Miguel Rocha:
A pipeline for the reconstruction and evaluation of context-specific human metabolic models at a large-scale. PLoS Comput. Biol. 18(6) (2022) - [c120]Miguel Martins, Miguel Rocha, Vitor Pereira:
Variational Autoencoders and Evolutionary Algorithms for Targeted Novel Enzyme Design. CEC 2022: 1-8 - [c119]João Capela, João Correia, Vitor Pereira, Miguel Rocha:
Development of Deep Learning approaches to predict relationships between chemical structures and sweetness. IJCNN 2022: 1-8 - [c118]João Correia, Rafael Carreira, Vitor Pereira, Miguel Rocha:
Predicting the number of biochemical transformations needed to synthesize a compound. IJCNN 2022: 1-8 - [e14]Miguel Rocha, Florentino Fdez-Riverola, Mohd Saberi Mohamad, Roberto Casado-Vara:
Practical Applications of Computational Biology & Bioinformatics, 15th International Conference (PACBB 2021), Salamanca, Spain, 6-8 October, 2021. Lecture Notes in Networks and Systems 325, Springer 2022, ISBN 978-3-030-86257-2 [contents] - 2021
- [j51]Delora Baptista, Pedro G. Ferreira, Miguel Rocha:
Deep learning for drug response prediction in cancer. Briefings Bioinform. 22(1): 360-379 (2021) - [j50]Vitor Pereira, Fernando Cruz, Miguel Rocha:
MEWpy: a computational strain optimization workbench in Python. Bioinform. 37(16): 2494-2496 (2021) - [j49]Tiago Sousa, João Correia, Vitor Pereira, Miguel Rocha:
Generative Deep Learning for Targeted Compound Design. J. Chem. Inf. Model. 61(11): 5343-5361 (2021) - [c117]Tiago Sousa, João Correia, Vitor Pereira, Miguel Rocha:
Combining Multi-objective Evolutionary Algorithms with Deep Generative Models Towards Focused Molecular Design. EvoApplications 2021: 81-96 - [c116]João Reis, Truong Khoa Phan, Morteza Kheirkhah, Fan Yang, David Griffin, Miguel Rocha, Miguel Rio:
R2L: Routing With Reinforcement Learning. IJCNN 2021: 1-7 - [c115]Débora Antunes, Daniel Martins, Fernanda Correia, Miguel Rocha, Joel P. Arrais:
Computational Methods for the Identification of Genetic Variants in Complex Diseases. PACBB 2021: 1-10 - [c114]Bruno Pereira, Marcelo Maraschin, Miguel Rocha:
Computational Tools for the Analysis of 2D-Nuclear Magnetic Resonance Data. PACBB 2021: 52-61 - [c113]Ana Marta Sequeira, Miguel Rocha:
Recurrent Deep Neural Networks for Enzyme Functional Annotation. PACBB 2021: 62-73 - [c112]Nuno Alves, Rúben Rodrigues, Miguel Rocha:
BioTMPy: A Deep Learning-Based Tool to Classify Biomedical Literature. PACBB 2021: 115-125 - [c111]Delora Baptista, João Correia, Bruno Pereira, Miguel Rocha:
A Comparison of Different Compound Representations for Drug Sensitivity Prediction. PACBB 2021: 145-154 - [c110]Vitor Pereira, Miguel Rocha:
Combinatorial Optimization of Succinate Production in Escherichia coli. PACBB 2021: 155-164 - [e13]Gabriella Panuccio, Miguel Rocha, Florentino Fdez-Riverola, Mohd Saberi Mohamad, Roberto Casado-Vara:
Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020), L'Aquila, Italy, 17-19 June, 2020. Advances in Intelligent Systems and Computing 1240, Springer 2021, ISBN 978-3-030-54567-3 [contents] - 2020
- [j48]Vitor Pereira, Miguel Rocha, Pedro Sousa:
Traffic Engineering With Three-Segments Routing. IEEE Trans. Netw. Serv. Manag. 17(3): 1896-1909 (2020) - [c109]Ana Marta Sequeira, Diana Lousa, Miguel Rocha:
ProPythia: A Python Automated Platform for the Classification of Proteins Using Machine Learning. PACBB 2020: 32-41 - [c108]Diogo Lima, Fernando Cruz, Miguel Rocha, Oscar Días:
Reconciliation of Regulatory Data: The Regulatory Networks of Escherichia coli and Bacillus subtilis. PACBB 2020: 155-165 - [e12]Florentino Fdez-Riverola, Miguel Rocha, Mohd Saberi Mohamad, Nazar Zaki, José A. Castellanos-Garzón:
Practical Applications of Computational Biology and Bioinformatics, 13th International Conference, PABCC 2019, Avila, Spain, 26-28 June 2019. Advances in Intelligent Systems and Computing 1005, Springer 2020, ISBN 978-3-030-23872-8 [contents] - [d1]Diogo Lima, Fernando Cruz, Miguel Rocha, Oscar Días:
Reconciliation of regulatory data: the regulatory networks of Escherichia coli and Bacillus subtilis. Zenodo, 2020
2010 – 2019
- 2019
- [j47]Marta Sampaio, Miguel Rocha, Hugo Oliveira, Oscar Días:
Predicting promoters in phage genomes using PhagePromoter. Bioinform. 35(24): 5301-5302 (2019) - [j46]Vítor Vieira, Miguel Rocha:
CoBAMP: a Python framework for metabolic pathway analysis in constraint-based models. Bioinform. 35(24): 5361-5362 (2019) - [j45]Vítor Vieira, Paulo Maia, Miguel Rocha, Isabel Rocha:
Comparison of pathway analysis and constraint-based methods for cell factory design. BMC Bioinform. 20(1): 350:1-350:15 (2019) - [j44]Fernando Cruz, Davide Lagoa, João Mendes, Isabel Rocha, Eugénio C. Ferreira, Miguel Rocha, Oscar Días:
SamPler - a novel method for selecting parameters for gene functional annotation routines. BMC Bioinform. 20(1): 454:1-454:11 (2019) - [j43]Florentino Fdez-Riverola, Miguel Rocha:
Selected Extended Papers of the 12th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB). J. Integr. Bioinform. 16(1) (2019) - [j42]Vítor Vieira, Jorge Ferreira, Rúben Rodrigues, Filipe Liu, Miguel Rocha:
A Model Integration Pipeline for the Improvement of Human Genome-Scale Metabolic Reconstructions. J. Integr. Bioinform. 16(1) (2019) - [c107]Vitor Pereira, Miguel Rocha, Pedro Sousa:
Hybrid IP/SDN Routing for Inter-Data Center Communications. CloudNet 2019: 1-3 - [c106]João Reis, Miguel Rocha, Truong Khoa Phan, David Griffin, Franck Le, Miguel Rio:
Deep Neural Networks for Network Routing. IJCNN 2019: 1-8 - [c105]Miguel Rocha, Truong Khoa Phan, João Reis, David Griffin, Miguel Rio:
Triptych: Multi-objective Optimisation of Service Deployment Costs, Application Delay and Bandwidth Usage. Networking 2019: 1-9 - [c104]Marta Sampaio, Miguel Rocha, Hugo Oliveira, Oscar Días:
Predicting Promoters in Phage Genomes Using Machine Learning Models. PACBB 2019: 105-112 - [c103]Jorge Ferreira, Vítor Vieira, Jorge Gomes, Sara Correia, Miguel Rocha:
Troppo - A Python Framework for the Reconstruction of Context-Specific Metabolic Models. PACBB 2019: 146-153 - [c102]João Correia, Tiago Resende, Delora Baptista, Miguel Rocha:
Artificial Intelligence in Biological Activity Prediction. PACBB 2019: 164-172 - [c101]Fernando Cruz, Diogo Lima, José P. Faria, Miguel Rocha, Oscar Días:
Towards the Reconstruction of Integrated Genome-Scale Models of Metabolism and Gene Expression. PACBB 2019: 173-181 - [e11]Florentino Fdez-Riverola, Mohd Saberi Mohamad, Miguel Rocha, Juan F. De Paz, Pascual González:
Practical Applications of Computational Biology and Bioinformatics, 12th International Conference, PACBB 2018, Toledo, Spain, 20-22 May, 2018. Advances in Intelligent Systems and Computing 803, Springer 2019, ISBN 978-3-319-98701-9 [contents] - 2018
- [j41]Tiago Alves, Rúben Rodrigues, Hugo Costa, Miguel Rocha:
Development of an information retrieval tool for biomedical patents. Comput. Methods Programs Biomed. 159: 125-134 (2018) - [j40]Truong Khoa Phan, Miguel Rocha, David Griffin, Miguel Rio:
Utilitarian Placement of Composite Services. IEEE Trans. Netw. Serv. Manag. 15(2): 638-649 (2018) - [c100]Vitor Pereira, Miguel Rocha, Pedro Sousa:
Segment Routing Single Link Failure Congestion Optimization. ICETE (1) 2018: 242-249 - [c99]Rúben Rodrigues, Hugo Costa, Miguel Rocha:
Automating the Extraction of Essential Genes from Literature. ICDM 2018: 75-87 - [c98]Cláudia M. Bauer, Paulo Vilaça, Fernanda Ramlov, Eva Regina de Oliveira, Débora Cabral Nazário, Caroline Schmitz, Rafaela Gordo Corrêa, Miguel Rocha, Marcelo Maraschin:
In Silico Predictions for Fucoxanthin Production by the Diatom Phaeodactylum Tricornutum. PACBB 2018: 139-148 - [c97]Sara Cardoso, Delora Baptista, Rebeca Santos, Miguel Rocha:
A Review on Metabolomics Data Analysis for Cancer Applications. PACBB 2018: 157-165 - [c96]João Carlos Sequeira, Miguel Rocha, Maria Madalena Alves, Andreia Ferreira Salvador:
MOSCA: An Automated Pipeline for Integrated Metagenomics and Metatranscriptomics Data Analysis. PACBB 2018: 183-191 - [c95]Vítor Vieira, Jorge Ferreira, Rúben Rodrigues, Miguel Rocha:
Metabolite Integration Pipeline for the Improvement of Human Metabolic Models. PACBB 2018: 192-199 - [c94]Débora Cabral Nazário, Sara Cardoso, Silvana Rocco, Maurício Sforça, Simone Fanan Hengeltraub, Cláudia M. Bauer, Miguel Rocha, Marcelo Maraschin:
17α-Ethinylestradiol Analysis of Endo- and Exometabolome of Ulva lactuca (Chlorophyta) by 1H-NMR Spectroscopy and Bioinformatics Tools. PACBB 2018: 216-223 - 2017
- [j39]Telma Afonso, Rodolfo Moresco, Virgílio G. Uarrota, Bruno Bachiega Navarro, Eduardo da C. Nunes, Marcelo Maraschin, Miguel Rocha:
UV-Vis and CIELAB Based Chemometric Characterization of Manihot esculenta Carotenoid Contents. J. Integr. Bioinform. 14(4) (2017) - [j38]Sara Cardoso, Marcelo Maraschin, Luiz Augusto Martins Peruch, Miguel Rocha, Aline Pereira:
A Chemometrics Approach for Nuclear Magnetic Resonance Data to Characterize the Partial Metabolome Banana Peels from Southern Brazil. J. Integr. Bioinform. 14(4) (2017) - [j37]Florentino Fdez-Riverola, Miguel Rocha:
Selected Extended Papers of the 11th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB). J. Integr. Bioinform. 14(4) (2017) - [j36]David Henriques, Alejandro Fernández Villaverde, Miguel Rocha, Julio Saez-Rodriguez, Julio R. Banga:
Data-driven reverse engineering of signaling pathways using ensembles of dynamic models. PLoS Comput. Biol. 13(2) (2017) - [j35]Oscar Días, Daniel Gomes, Paulo Vilaça, João G. R. Cardoso, Miguel Rocha, Eugénio C. Ferreira, Isabel Rocha:
Genome-Wide Semi-Automated Annotation of Transporter Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 14(2): 443-456 (2017) - [c93]Vitor Pereira, Miguel Rocha, Pedro Sousa:
Optimizing Segment Routing using Evolutionary Computation. FNC/MobiSPC 2017: 312-319 - [c92]Vitor Pereira, Pedro Sousa, Miguel Rocha:
Evolutionary computation at work for the optimization of link state routing protocols. GECCO (Companion) 2017: 299-300 - [c91]Paulo Maia, Isabel Rocha, Miguel Rocha:
Identification of robust strain designs via tandem pFBA/LMOMA phenotype prediction. GECCO (Companion) 2017: 1661-1668 - [c90]André M. Santiago, Miguel Rocha, António Dourado, Joel P. Arrais:
Mixed-Integer Programming Model for Profiling Disease Biomarkers from Gene Expression Studies. IWBBIO (2) 2017: 50-61 - [c89]Tiago Alves, Rúben Rodrigues, Hugo Costa, Miguel Rocha:
Development of Text Mining Tools for Information Retrieval from Patents. PACBB 2017: 66-73 - [c88]Nuno Osório, Paulo Vilaça, Miguel Rocha:
A Critical Evaluation of Automatic Atom Mapping Algorithms and Tools. PACBB 2017: 257-264 - [c87]Rodolfo Moresco, Telma Afonso, Virgílio G. Uarrota, Bruno Bachiega Navarro, Eduardo da C. Nunes, Miguel Rocha, Marcelo Maraschin:
Classification Tools for Carotenoid Content Estimation in Manihot esculenta via Metabolomics and Machine Learning. PACBB 2017: 280-288 - [c86]Susane Lopes, Rodolfo Moresco, Luiz Augusto Martins Peruch, Miguel Rocha, Marcelo Maraschin:
UV-Vis Spectrophotometry and Chemometrics as Tools for Recognition of the Biochemical Profiles of Organic Banana Peels (Musa sp.) According to the Seasonality in Southern Brazil. PACBB 2017: 289-296 - [c85]Eva Regina Oliveira, Ester Wickert, Fernanda Ramlov, Rodolfo Moresco, Larissa Simão, Bruno Bachiega Navarro, Cláudia M. Bauer, Débora Cabral Nazário, Miguel Rocha, Marcelo Maraschin:
Influence of Solar Radiation on the Production of Secondary Metabolites in Three Rice (Oryza sativa) Cultivars. PACBB 2017: 297-304 - [c84]Sara Cardoso, Marcelo Maraschin, Luiz Augusto Martins Peruch, Miguel Rocha, Aline Pereira:
Characterization of the Chemical Composition of Banana Peels from Southern Brazil Across the Seasons Using Nuclear Magnetic Resonance and Chemometrics. PACBB 2017: 321-328 - [e10]Florentino Fdez-Riverola, Mohd Saberi Mohamad, Miguel P. Rocha, Juan F. De Paz, Tiago Pinto:
11th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2017, Porto, Portugal, 21-23 June, 2017. Advances in Intelligent Systems and Computing 616, Springer 2017, ISBN 978-3-319-60815-0 [contents] - 2016
- [j34]Christopher Costa, Marcelo Maraschin, Miguel Rocha:
An R package for the integrated analysis of metabolomics and spectral data. Comput. Methods Programs Biomed. 129: 117-124 (2016) - [c83]Vitor Pereira, Miguel Rocha, Pedro Sousa:
Optimizing Load Balancing Routing Mechanisms with Evolutionary Computation. Intelligent Environments (Workshops) 2016: 298-307 - [c82]Rúben Rodrigues, Hugo Costa, Miguel Rocha:
Development of a Machine Learning Framework for Biomedical Text Mining. PACBB 2016: 41-49 - [c81]Vítor Vieira, Paulo Maia, Isabel Rocha, Miguel Rocha:
Development of an Integrated Framework for Minimal Cut Set Enumeration in Constraint-Based Models. PACBB 2016: 193-201 - [c80]Jorge Ferreira, Sara Correia, Miguel Rocha:
Reconstruction of Metabolic Models for Liver Cancer Cells. PACBB 2016: 213-221 - [e9]Mohd Saberi Mohamad, Miguel P. Rocha, Florentino Fdez-Riverola, Francisco José Domínguez Mayo, Juan F. De Paz:
10th International Conference on Practical Applications of Computational Biology & Bioinformatics, PACBB 2016, Sevilla, Spain, 1-3 June 2016. Advances in Intelligent Systems and Computing 477, Springer 2016, ISBN 978-3-319-40125-6 [contents] - 2015
- [j33]David Henriques, Miguel Rocha, Julio Saez-Rodriguez, Julio R. Banga:
Reverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approach. Bioinform. 31(18): 2999-3007 (2015) - [j32]Filipe Liu, Paulo Vilaça, Isabel Rocha, Miguel Rocha:
Development and application of efficient pathway enumeration algorithms for metabolic engineering applications. Comput. Methods Programs Biomed. 118(2): 134-146 (2015) - [j31]Ana Alão Freitas, Hugo Costa, Miguel Rocha, Isabel Rocha:
Extracting kinetic information from literature with KineticRE. J. Integr. Bioinform. 12(4) (2015) - [j30]Rodolfo Moresco, Virgílio Gavicho Uarrota, Aline Pereira, Maíra Maciel Tomazzoli, Eduardo da C. Nunes, Luiz Augusto Martins Peruch, Jussara Gazzola, Christopher Costa, Miguel Rocha, Marcelo Maraschin:
UV-visible scanning spectrophotometry and chemometric analysis as tools for carotenoids analysis in cassava genotypes (Manihot esculenta Crantz). J. Integr. Bioinform. 12(4) (2015) - [j29]Maíra Maciel Tomazzoli, Remi Dal Pai Neto, Rodolfo Moresco, Larissa Westphal, Amélia Regina Somensi-Zeggio, Leandro Specht, Christopher Costa, Miguel Rocha, Marcelo Maraschin:
Discrimination of Brazilian propolis according to the seasoning using chemometrics and machine learning based on UV-Vis scanning data. J. Integr. Bioinform. 12(4) (2015) - [j28]Eduardo Valente, Miguel Rocha:
Integrating data from heterogeneous DNA microarray platforms. J. Integr. Bioinform. 12(4) (2015) - [c79]Rafael T. Pereira, Hugo Costa, Sónia Carneiro, Miguel Rocha, Rui Mendes:
Reconstructing transcriptional Regulatory Networks using data integration and Text Mining. BIBM 2015: 1552-1558 - [c78]Vitor Pereira, Pedro Sousa, Paulo Cortez, Miguel Rio, Miguel Rocha:
Comparison of Single and Multi-objective Evolutionary Algorithms for Robust Link-State Routing. EMO (2) 2015: 573-587 - [c77]Sara Correia, Miguel Rocha:
A Critical Evaluation of Methods for the Reconstruction of Tissue-Specific Models. EPIA 2015: 340-352 - [c76]Vitor Pereira, Miguel Rocha, Pedro Sousa:
Automated Network Resilience Optimization Using Computational Intelligence Methods. IDC 2015: 485-495 - [c75]Rodolfo Moresco, Virgílio G. Uarrota, Aline Pereira, Maíra M. Tomazzoli, Eduardo da C. Nunes, Luiz Augusto Martins Peruch, Christopher Costa, Miguel Rocha, Marcelo Maraschin:
Carotenoid Analysis of Cassava Genotypes Roots (Manihot Esculenta Crantz) Cultivated in Southern Brazil Using Chemometric Tools. PACBB 2015: 11-18 - [c74]Maíra M. Tomazzoli, Remi Dal Pai Neto, Rodolfo Moresco, Larissa Westphal, Amélia Regina Somensi-Zeggio, Leandro Specht, Christopher Costa, Miguel Rocha, Marcelo Maraschin:
UV-Visible Scanning Spectrophotometry and Chemometric Analysis as Tools to Build Descriptive and Classification Models for Propolis from Southern Brazil. PACBB 2015: 19-27 - [c73]Fernanda Kokowicz Pilatti, Christopher Costa, Miguel Rocha, Marcelo Maraschin, Ana Maria Viana:
UV-Visible Spectrophotometry-Based Metabolomic Analysis of Cedrela Fissilis Velozzo (Meliaceae) Calluses - A Screening Tool for Culture Medium Composition and Cell Metabolic Profiles. PACBB 2015: 29-36 - [c72]Christopher Costa, Marcelo Maraschin, Miguel Rocha:
An Integrated Computational Platform for Metabolomics Data Analysis. PACBB 2015: 37-47 - [c71]Ana Alão Freitas, Hugo Costa, Miguel Rocha, Isabel Rocha:
A Text Mining Approach for the Extraction of Kinetic Information from Literature. PACBB 2015: 89-98 - [c70]Eduardo Valente, Miguel Rocha:
Microarray Gene Expression Data Integration: An Application to Brain Tumor Grade Determination. PACBB 2015: 127-135 - [c69]Eduardo Valente, Miguel Rocha:
Transcript-based reannotation for microarray probesets. SAC 2015: 3-9 - [e8]Ross A. Overbeek, Miguel P. Rocha, Florentino Fdez-Riverola, Juan Francisco de Paz:
9th International Conference on Practical Applications of Computational Biology and Bioinformatics, PACBB 2015, 3-5 June, 2015, Salamanca, Spain. Advances in Intelligent Systems and Computing 375, Springer 2015, ISBN 978-3-319-19775-3 [contents] - 2014
- [j27]José P. Faria, Ross A. Overbeek, Fangfang Xia, Miguel Rocha, Isabel Rocha, Christopher S. Henry:
Genome-scale bacterial transcriptional regulatory networks: reconstruction and integrated analysis with metabolic models. Briefings Bioinform. 15(4): 592-611 (2014) - [j26]Joao C. Guimaraes, Miguel Rocha, Adam P. Arkin, Guillaume Cambray:
D-Tailor: automated analysis and design of DNA sequences. Bioinform. 30(8): 1087-1094 (2014) - [j25]Alberto Noronha, Paulo Vilaça, Miguel Rocha:
An integrated network visualization framework towards metabolic engineering applications. BMC Bioinform. 15: 6594 (2014) - [j24]Rafael Carreira, Pedro Evangelista, Paulo Maia, Paulo Vilaça, Marcellinus Pont, Jean-François Tomb, Isabel Rocha, Miguel Rocha:
CBFA: phenotype prediction integrating metabolic models with constraints derived from experimental data. BMC Syst. Biol. 8: 123 (2014) - [j23]Miguel Rocha, Rui Mendes, Orlando Rocha, Isabel Rocha, Eugénio C. Ferreira:
Optimization of fed-batch fermentation processes with bio-inspired algorithms. Expert Syst. Appl. 41(5): 2186-2195 (2014) - [c68]Orlando Rocha, Paulo Vilaça, Miguel Rocha, Rui Mendes:
Reg4OptFlux: an OptFlux plug-in that comprises meta-heuristics approaches for Metabolic engineering using integrated models. NaBIC 2014: 226-231 - [c67]