LAQV REQUIMTE

(Chemical) Bonding is what makes life possible

Rafael Costa

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Research interests: Systems Biology modeling, (Bio)Process Systems Engineering, Big Data Analytics, Computational Modelling, Bioinformatics and Systems Biotechnology.

Representative Publications

Enrichment analysis on regulatory subspaces: a novel direction for the superior description of cellular responses to SARS-CoV-2
10.1016/j.compbiomed.2022.105443
IPOscore: an interactive web-based platform for postoperative surgical complications analysis and prediction in the oncology domain
10.1016/j.cmpb.2022.106754
A general deep hybrid model for bioreactor systems: combining first Principles equations with deep neural networks
10.1016/j.compchemeng.2022.107952
DISA tool: Discriminative and informative subspace assessment with categorical and numerical outcomes
10.1371/journal.pone.0276253
SBML2HYB: a Python interface for SBML compatible hybrid modelling
10.1093/bioinformatics/btad044
A General Hybrid Modeling Framework for Systems Biology Applications: Combining Mechanistic Knowledge with Deep Neural Networks under the SBML Standard
10.3390/ai4010014
Hybrid deep modelling of a GS115 (Mut+) Pichia pastoris culture with state-space reduction
10.3390/fermentation9070643
Predicting metabolic fluxes from omics data via machine learning: Moving from knowledge-driven towards data-driven approaches
10.1016/j.csbj.2023.10.002
Modeling and optimization of bioreactor processes
10.1016/B978-0-323-91167-2.00016-2
Hybrid deep modeling of a CHO-K1 fed-batch process: combining First-Principles with deep neural networks
10.3389/fbioe.2023.1237963
TriSig: Evaluating the statistical significance of triclusters
10.1016/j.patcog.2023.110231
Pattern-centric transformation of omics data grounded on discriminative gene associations aids predictive tasks in TCGA while ensuring interpretability
10.1002/bit.28758
Integrating statistical significance and discriminative power in pattern discovery
10.1016/j.knosys.2025.113356
Bottlenecks in advancing and applying multiomic data integration-common data resources as rate-limiting drivers-the high-impact use case of atherosclerotic cardiovascular disease
10.1093/bib/bbaf526
Strain Engineering, Flux Design, and Metabolic Production Using Big Data: Ongoing Advances and Opportunities
10.1002/9783527850532