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Cancers
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July 2, 2021
Predicting Postoperative Complications in Cancer Patients: A Survey Bridging Classical and Machine Learning Contributions to Postsurgical Risk Analysis
Daniel M Gonçalves, Rui Henriques, Rafael S Costa
Computational and Structural Biotechnology Journal
|
October 25, 2023
Predicting metabolic fluxes from omics data via machine learning: Moving from knowledge-driven towards data-driven approaches
Daniel M Gonçalves, Rui Henriques, Rafael S Costa
Bio Systems
|
March 16, 2010
Hybrid dynamic modeling of Escherichia coli central metabolic network combining Michaelis-Menten and approximate kinetic equations
Rafael S Costa, Daniel Machado, Isabel Rocha, et al.
BMC Medical Informatics and Decision Making
|
June 29, 2021
On the predictability of postoperative complications for cancer patients: a Portuguese cohort study
Daniel Gonçalves, Rui Henriques, Lúcio Lara Santos, et al.
IEEE Journal of Biomedical and Health Informatics
|
March 9, 2021
Mining Pre-Surgical Patterns Able to Discriminate Post-Surgical Outcomes in the Oncological Domain
Leonardo Alexandre, Rafael S Costa, Lucio Lara Santos, et al.
Bioinformatics (Oxford, England)
|
January 20, 2023
SBML2HYB: a Python interface for SBML compatible hybrid modeling
José Pinto, Rafael S Costa, Leonardo Alexandre, et al.
Metabolic Engineering
|
February 7, 2012
Exploring the gap between dynamic and constraint-based models of metabolism
Daniel Machado, Rafael S Costa, Eugénio C Ferreira, et al.
Molecular Biosystems
|
January 14, 2014
An extended dynamic model of Lactococcus lactis metabolism for mannitol and 2,3-butanediol production
Rafael S Costa, Andras Hartmann, Paula Gaspar, et al.
AMB Express
|
December 7, 2011
Modeling formalisms in Systems Biology
Daniel Machado, Rafael S Costa, Miguel Rocha, et al.
Frontiers in Bioengineering and Biotechnology
|
September 25, 2023
Hybrid deep modeling of a CHO-K1 fed-batch process: combining first-principles with deep neural networks
José Pinto, João R C Ramos, Rafael S Costa, et al.
Page
of 3
Search research articles
Search
Showing results (11-20 of 28) with videos related to
Sort By:
Page
of 3
Cancers
|
July 2, 2021
Predicting Postoperative Complications in Cancer Patients: A Survey Bridging Classical and Machine Learning Contributions to Postsurgical Risk Analysis
Daniel M Gonçalves, Rui Henriques, Rafael S Costa
Computational and Structural Biotechnology Journal
|
October 25, 2023
Predicting metabolic fluxes from omics data via machine learning: Moving from knowledge-driven towards data-driven approaches
Daniel M Gonçalves, Rui Henriques, Rafael S Costa
Bio Systems
|
March 16, 2010
Hybrid dynamic modeling of Escherichia coli central metabolic network combining Michaelis-Menten and approximate kinetic equations
Rafael S Costa, Daniel Machado, Isabel Rocha, et al.
BMC Medical Informatics and Decision Making
|
June 29, 2021
On the predictability of postoperative complications for cancer patients: a Portuguese cohort study
Daniel Gonçalves, Rui Henriques, Lúcio Lara Santos, et al.
IEEE Journal of Biomedical and Health Informatics
|
March 9, 2021
Mining Pre-Surgical Patterns Able to Discriminate Post-Surgical Outcomes in the Oncological Domain
Leonardo Alexandre, Rafael S Costa, Lucio Lara Santos, et al.
Bioinformatics (Oxford, England)
|
January 20, 2023
SBML2HYB: a Python interface for SBML compatible hybrid modeling
José Pinto, Rafael S Costa, Leonardo Alexandre, et al.
Metabolic Engineering
|
February 7, 2012
Exploring the gap between dynamic and constraint-based models of metabolism
Daniel Machado, Rafael S Costa, Eugénio C Ferreira, et al.
Molecular Biosystems
|
January 14, 2014
An extended dynamic model of Lactococcus lactis metabolism for mannitol and 2,3-butanediol production
Rafael S Costa, Andras Hartmann, Paula Gaspar, et al.
AMB Express
|
December 7, 2011
Modeling formalisms in Systems Biology
Daniel Machado, Rafael S Costa, Miguel Rocha, et al.
Frontiers in Bioengineering and Biotechnology
|
September 25, 2023
Hybrid deep modeling of a CHO-K1 fed-batch process: combining first-principles with deep neural networks
José Pinto, João R C Ramos, Rafael S Costa, et al.
Page
of 3