1
TITLE: TriSig: Evaluating the statistical significance of triclusters
AUTHORS: Alexandre, Leonardo; Costa, Rafael S.; Henriques, Rui;
PUBLISHED: 2024, SOURCE: PATTERN RECOGNITION, VOLUME: 149
INDEXED IN: Scopus WOS CrossRef: 1
IN MY: ORCID
2
TITLE: Pattern-centric transformation of omics data grounded on discriminative gene associations aids predictive tasks in TCGA while ensuring interpretability
AUTHORS: Patricio, Andre; Costa, Rafael S.; Henriques, Rui;
PUBLISHED: 2024, SOURCE: BIOTECHNOLOGY AND BIOENGINEERING
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
3
TITLE: SBML2HYB: a Python interface for SBML compatible hybrid modeling
AUTHORS: Pinto, Jose; Costa, Rafael S.; Alexandre, Leonardo; Ramos, Joao; Oliveira, Rui;
PUBLISHED: 2023, SOURCE: BIOINFORMATICS, VOLUME: 39, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef: 2
IN MY: ORCID
4
5
TITLE: On the challenges of predicting treatment response in Hodgkin’s Lymphoma using transcriptomic data
AUTHORS: André Patrício; Rafael Costa; Rui Henriques;
PUBLISHED: 2023, SOURCE: BMC Medical Genomics, VOLUME: 16, ISSUE: S1
INDEXED IN: Scopus CrossRef: 1
IN MY: ORCID
6
TITLE: Hybrid Deep Modeling of a GS115 (Mut+) Pichia pastoris Culture with State-Space Reduction
AUTHORS: Pinto, Jose; Ramos, Joao R. C.; Costa, Rafael S.; Oliveira, Rui;
PUBLISHED: 2023, SOURCE: FERMENTATION-BASEL, VOLUME: 9, ISSUE: 7
INDEXED IN: Scopus WOS CrossRef: 2
IN MY: ORCID
7
TITLE: An Overview of Mathematical Modelling in Cancer Research: Fractional Calculus as Modelling Tool
AUTHORS: Vieira, Lourenco Corte; Costa, Rafael S.; Valerio, Duarte;
PUBLISHED: 2023, SOURCE: FRACTAL AND FRACTIONAL, VOLUME: 7, ISSUE: 8
INDEXED IN: Scopus WOS CrossRef: 7
IN MY: ORCID
8
TITLE: Hybrid deep modeling of a CHO-K1 fed-batch process: combining first-principles with deep neural networks
AUTHORS: Pinto, Jose; Ramos, Joao R. C.; Costa, Rafael S.; Rossell, Sergio; Dumas, Patrick; Oliveira, Rui;
PUBLISHED: 2023, SOURCE: FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, VOLUME: 11
INDEXED IN: Scopus WOS CrossRef: 5
IN MY: ORCID
9
TITLE: Predicting metabolic fluxes from omics data via machine learning: Moving from knowledge-driven towards data-driven approaches
AUTHORS: Daniel Gonçalves; Rui Henriques; Rafael Costa;
PUBLISHED: 2023, SOURCE: Computational and Structural Biotechnology Journal, VOLUME: 21
INDEXED IN: Scopus CrossRef: 1
IN MY: ORCID
Page 1 of 5. Total results: 41.