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ORCIDSusana Vinga
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2020 – today
- 2024
[c32]Cláudia S. Constantino, Francisco P. M. Oliveira
, Sónia Leocádio, Mariana Silva, Carla Oliveira, Joana Correia Castanheira, Ângelo Silva, Sofia Vaz, Ricardo Teixeira, Manuel Neves, Paulo Lúcio, Cristina João, Susana Vinga, Durval Campos Costa:
A robust deep-learning model for fully automatic segmentation of lymphoma lesions on whole-body [18F]FDG PET/CT images. ISBI 2024: 1-4- 2023
- [j37]Carolina Peixoto, Marta B. Lopes, Marta Martins, Sandra Casimiro, Daniel Sobral, Ana Rita Grosso, Catarina Abreu, Daniela Macedo, Ana Lúcia Costa, Helena Pais, Cecília Alvim, André Mansinho, Pedro Filipe, Pedro Marques da Costa, Afonso Fernandes, Paula Borralho, Cristina Ferreira, João Malaquias, António Quintela, Shannon Kaplan, Mahdi Golkaram, Michael Salmans, Nafeesa Khan, Raakhee Vijayaraghavan, Shile Zhang, Traci Pawlowski, Jim Godsey, Alex So, Li Liu, Luís Costa, Susana Vinga:
Identification of biomarkers predictive of metastasis development in early-stage colorectal cancer using network-based regularization. BMC Bioinform. 24(1): 17 (2023) - [j36]Luísa Marote Costa, João Pedro Colaço, Alexandra M. Carvalho, Susana Vinga, Andreia Sofia Teixeira:
Using Markov chains and temporal alignment to identify clinical patterns in Dementia. J. Biomed. Informatics 140: 104328 (2023) - [c31]Ana Rita Baião, Carolina Peixoto, Marta B. Lopes, Pedro Reis Costa, Alexandra M. Carvalho, Susana Vinga:
Evaluating the Causal Role of Environmental Data in Shellfish Biotoxin Contamination on the Portuguese Coast. EPIA (2) 2023: 325-337 - [c30]Diogo Ribeiro, Filipe Ferraz, Marta B. Lopes, Susana Rodrigues, Pedro Reis Costa, Susana Vinga, Alexandra M. Carvalho:
Causal Graph Discovery for Explainable Insights on Marine Biotoxin Shellfish Contamination. IDEAL 2023: 483-494 - [c29]Filipe Ferraz, Diogo Ribeiro, Marta B. Lopes, Sónia Pedro, Susana Vinga, Alexandra M. Carvalho:
Comparative Analysis of Machine Learning Models for Time-Series Forecasting of Escherichia Coli Contamination in Portuguese Shellfish Production Areas. LOD (1) 2023: 174-188 - 2022
- [c28]Beatriz N. Leitão, Paula Faustino, Susana Vinga:
Comparative Evaluation of Classification Indexes and Outlier Detection of Microcytic Anaemias in a Portuguese Sample. EPIA 2022: 219-231 - [c27]Thomas Villmann, Jonas S. Almeida, John A. Lee, Susana Vinga:
Tutorial - Machine Learning and Information Theoretic Methods for Molecular Biology and Medicine. ESANN 2022 - 2021
- [j35]Susana Vinga:
Structured sparsity regularization for analyzing high-dimensional omics data. Briefings Bioinform. 22(1): 77-87 (2021) - [j34]Cláudia S. Constantino, Alexandra M. Carvalho, Susana Vinga:
Coupling sparse Cox models with clustering of longitudinal transcriptomics data for trauma prognosis. BioData Min. 14(1): 25 (2021) - 2020
- [j33]Marta B. Lopes, Susana Vinga:
Tracking intratumoral heterogeneity in glioblastoma via regularized classification of single-cell RNA-Seq data. BMC Bioinform. 21(1): 59 (2020) - [j32]Ricardo Andrade, Mahdi Doostmohammadi, João L. Santos, Marie-France Sagot, Nuno P. Mira, Susana Vinga:
MOMO - multi-objective metabolic mixed integer optimization: application to yeast strain engineering. BMC Bioinform. 21(1): 69 (2020) - [c26]Joana Godinho, Alexandra M. Carvalho, Susana Vinga:
Latent Variable Modelling and Variational Inference for scRNA-seq Differential Expression Analysis. ICCABS 2020: 56-68 - [c25]André Ferreira, Sara C. Madeira, Marta Gromicho, Mamede de Carvalho, Susana Vinga, Alexandra M. Carvalho:
Predictive Medicine Using Interpretable Recurrent Neural Networks. ICPR Workshops (1) 2020: 187-202 - [c24]Inês Diegues, Susana Vinga, Marta B. Lopes:
Identification of Common Gene Signatures in Microarray and RNA-Sequencing Data Using Network-Based Regularization. IWBBIO 2020: 15-26 - [c23]Eunice Carrasquinha, André Veríssimo, Marta B. Lopes, Susana Vinga:
Network-Based Variable Selection for Survival Outcomes in Oncological Data. IWBBIO 2020: 550-561 - [c22]Cláudia S. Constantino, Alexandra M. Carvalho, Susana Vinga:
Sparse Consensus Classification for Discovering Novel Biomarkers in Rheumatoid Arthritis. LOD (1) 2020: 125-136
2010 – 2019
- 2019
- [j31]Marta B. Lopes, Sandra Casimiro, Susana Vinga:
Twiner: correlation-based regularization for identifying common cancer gene signatures. BMC Bioinform. 20(1): 356:1-356:15 (2019) - [j30]Marta B. Lopes, Sandra Casimiro, Susana Vinga:
Twiner: correlation-based regularization for identifying common cancer gene signatures. BMC Bioinform. 20(1): 356:1-356:15 (2019) - [j29]Hugo Loureiro, Eunice Carrasquinha, Irina Alho, Arlindo R. Ferreira, Luís Costa, Alexandra M. Carvalho, Susana Vinga:
Modelling cancer outcomes of bone metastatic patients: combining survival data with N-Telopeptide of type I collagen (NTX) dynamics through joint models. BMC Medical Informatics Decis. Mak. 19(1): 13:1-13:12 (2019) - [j28]Kishan Rama, Helena Canhão, Alexandra M. Carvalho, Susana Vinga:
AliClu - Temporal sequence alignment for clustering longitudinal clinical data. BMC Medical Informatics Decis. Mak. 19(1): 289 (2019) - [c21]Manuel Anacleto, Susana Vinga, Alexandra M. Carvalho:
MSAX: Multivariate Symbolic Aggregate Approximation for Time Series Classification. CIBB 2019: 90-97 - [c20]André Veríssimo, Marta B. Lopes, Eunice Carrasquinha, Susana Vinga:
Random Sample Consensus for the Robust Identification of Outliers in Cancer Data. CIBB 2019: 108-118 - [c19]Marta B. Lopes, André Veríssimo, Eunice Carrasquinha, Susana Vinga:
On the Role of Hub and Orphan Genes in the Diagnosis of Breast Invasive Carcinoma. LOD 2019: 631-642 - 2018
- [j27]Eunice Carrasquinha, André Veríssimo, Marta B. Lopes, Susana Vinga:
Identification of influential observations in high-dimensional cancer survival data through the rank product test. BioData Min. 11(1): 1:1-1:14 (2018) - [j26]Marta B. Lopes, André Veríssimo, Eunice Carrasquinha, Sandra Casimiro, Niko Beerenwinkel, Susana Vinga:
Ensemble outlier detection and gene selection in triple-negative breast cancer data. BMC Bioinform. 19(1): 168:1-168:15 (2018) - [j25]Joana P. Neto, Rui Moura Coelho, Duarte Valério, Susana Vinga, Dominik Sierociuk, Wiktor Malesza, Michal Macias, Andrzej Dzielinski:
Simplifying biochemical tumorous bone remodeling models through variable order derivatives. Comput. Math. Appl. 75(9): 3147-3157 (2018) - [c18]Pedro F. Ferreira, Alexandra M. Carvalho, Susana Vinga:
Variational Inference in Probabilistic Single-cell RNA-seq Models. CIBB 2018: 11-18 - [c17]João Villa-Brito, Marta B. Lopes, Alexandra M. Carvalho, Susana Vinga:
Unravelling Breast and Prostate Common Gene Signatures by Bayesian Network Learning. CIBB 2018: 285-292 - [c16]Eunice Carrasquinha, André Veríssimo, Marta B. Lopes, Susana Vinga:
Variable Selection and Outlier Detection in Regularized Survival Models: Application to Melanoma Gene Expression Data. LOD 2018: 431-440 - 2017
- [j24]Elson Tomás, Susana Vinga, Alexandra M. Carvalho:
Unsupervised learning of pharmacokinetic responses. Comput. Stat. 32(2): 409-428 (2017) - 2016
- [j23]André Veríssimo, Arlindo Limede Oliveira, Marie-France Sagot, Susana Vinga:
DegreeCox - a network-based regularization method for survival analysis. BMC Bioinform. 17(S-16): 109-121 (2016) - [j22]João Miranda Lemos, Daniela V. Caiado, Rui Coelho, Susana Vinga:
Optimal and receding horizon control of tumor growth in myeloma bone disease. Biomed. Signal Process. Control. 24: 128-134 (2016) - 2015
- [j21]András Hartmann, João Miranda Lemos, Susana Vinga:
Modeling multiple experiments using regularized optimization: A case study on bacterial glucose utilization dynamics. Comput. Biol. Medicine 63: 301-309 (2015) - [c15]João Diogo Pinto, Alexandra M. Carvalho, Susana Vinga:
Outlier Detection in Survival Analysis based on the Concordance C-index. BIOINFORMATICS 2015: 75-82 - [c14]Lúcia P. Cruz, Susana M. Vieira, Susana Vinga:
Fuzzy Clustering for Incomplete Short Time Series Data. EPIA 2015: 353-359 - [c13]João Diogo Pinto, Alexandra M. Carvalho, Susana Vinga:
Outlier Detection in Cox Proportional Hazards Models Based on the Concordance c-Index. MOD 2015: 252-256 - [c12]José L. Monteiro, Susana Vinga, Alexandra M. Carvalho:
Polynomial-time algorithm for learning optimal tree-augmented dynamic Bayesian networks. UAI 2015: 622-631 - 2014
- [j20]Susana Vinga:
Editorial: Alignment-free methods in computational biology. Briefings Bioinform. 15(3): 341-342 (2014) - [j19]Susana Vinga:
Information theory applications for biological sequence analysis. Briefings Bioinform. 15(3): 376-389 (2014) - [j18]Rafael S. Costa, André Veríssimo, Susana Vinga:
KiMoSys: a web-based repository of experimental data for KInetic MOdels of biological SYStems. BMC Syst. Biol. 8: 85 (2014) - [j17]András Hartmann, João Miranda Lemos, Rafael S. Costa, Susana Vinga:
Identifying IIR filter coefficients using particle swarm optimization with application to reconstruction of missing cardiovascular signals. Eng. Appl. Artif. Intell. 34: 193-198 (2014) - [c11]Rafael S. Costa, Son Nguyen, András Hartmann, Susana Vinga:
Exploring the Cellular Objective in Flux Balance Constraint-Based Models. CMSB 2014: 211-224 - 2013
- [j16]André Veríssimo, Laura Paixão, Ana Rita Neves, Susana Vinga:
BGFit: management and automated fitting of biological growth curves. BMC Bioinform. 14: 283 (2013) - [c10]Sara Silva, Vijay Ingalalli, Susana Vinga, João Manuel de Brito Carreiras, Joana B. Melo, Mauro Castelli, Leonardo Vanneschi, Ivo Gonçalves, José Caldas:
Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting. EvoApplications 2013: 407-417 - [c9]Ana Portêlo, João Miranda Lemos, Susana Vinga, Ruy M. Ribeiro, J. P. Cruz, Emília Valadas:
Parameter estimation and identifiability of a HIV-1 model. MED 2013: 691-696 - [c8]András Hartmann, Susana Vinga, João Miranda Lemos:
Hybrid identification of time-varying parameter with particle filtering and expectation maximization. MED 2013: 884-889 - 2012
- [j15]Susana Vinga, Alexandra M. Carvalho, Alexandre P. Francisco, Luís M. S. Russo, Jonas S. Almeida:
Pattern matching through Chaos Game Representation: bridging numerical and discrete data structures for biological sequence analysis. Algorithms Mol. Biol. 7: 10 (2012) - [j14]Jonas S. Almeida, Alexander Grüneberg, Wolfgang Maass, Susana Vinga:
Fractal MapReduce decomposition of sequence alignment. Algorithms Mol. Biol. 7: 12 (2012) - [c7]András Hartmann, Susana Vinga, João Miranda Lemos:
Identification of Hiv-1 Dynamics - Estimating the Noise Model, Constant and Time-varying Parameters of Long-term Clinical Data. BIOINFORMATICS 2012: 286-289 - [c6]Rafael S. Costa, Daniel Machado, Ana Rute Neves, Susana Vinga:
Multi-level Dynamic Modeling in Biological Systems - Application of Hybrid Petri Nets to Network Simulation. BIOINFORMATICS 2012: 317-321 - 2011
- [j13]Dulce Calçada, Susana Vinga, Ana T. Freitas, Arlindo L. Oliveira:
Quantitative Modeling of the Saccharomyces cerevisiae Flr1 regulatory Network Using an S-System Formalism. J. Bioinform. Comput. Biol. 9(5): 613-630 (2011) - [j12]Nuno Tenazinha, Susana Vinga:
A Survey on Methods for Modeling and Analyzing Integrated Biological Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 8(4): 943-958 (2011) - [c5]András Hartmann, Susana Vinga, João Miranda Lemos:
Unified Modeling of Several Perturbation Experiments in Systems Biology - A Case Study on the Glucose Uptake of Lactococcus Lactis. BIOINFORMATICS 2011: 309-312 - [c4]Joao V. Pinheiro, João Miranda Lemos, Susana Vinga:
Nonlinear MPC of HIV-1 infection with periodic inputs. CDC/ECC 2011: 65-70 - [c3]Dulce Calçada, Susana Vinga, Ana T. Freitas, Arlindo L. Oliveira:
Quantitative Modeling the Saccharomyces cerevisiae FLR1 Regulatory Network Using an S-System Formalism. HISB 2011: 69-75 - 2010
- [j11]Alexandre Domingues, Susana Vinga, João Miranda Lemos:
Optimization strategies for metabolic networks. BMC Syst. Biol. 4: 113 (2010) - [c2]Orlando Anunciação, Bruno C. Gomes, Susana Vinga, Jorge Gaspar, Arlindo L. Oliveira, José Rueff:
A Data Mining Approach for the Detection of High-Risk Breast Cancer Groups. IWPACBB 2010: 43-51
2000 – 2009
- 2009
- [j10]Jonas S. Almeida, Susana Vinga:
Biological sequences as pictures - a generic two dimensional solution for iterated maps. BMC Bioinform. 10 (2009) - [j9]Marco Vilela, Susana Vinga, Marco Maia, Eberhard O. Voit, Jonas S. Almeida:
Identification of neutral biochemical network models from time series data. BMC Syst. Biol. 3: 47 (2009) - [c1]Alexandre Domingues, João Miranda Lemos, Susana Vinga:
Optimization strategies for metabolic networks. ECC 2009: 3190-3195 - 2008
- [j8]Ana C. Casimiro, Susana Vinga, Ana T. Freitas, Arlindo L. Oliveira:
An analysis of the positional distribution of DNA motifs in promoter regions and its biological relevance. BMC Bioinform. 9 (2008) - [j7]Marco Vilela, I-Chun Chou, Susana Vinga, Ana Tereza Ribeiro de Vasconcelos, Eberhard O. Voit, Jonas S. Almeida:
Parameter optimization in S-system models. BMC Syst. Biol. 2: 35 (2008) - 2007
- [j6]Marco Vilela, Carlos Cristiano H. Borges, Susana Vinga, Ana Tereza Ribeiro de Vasconcelos, Helena Santos, Eberhard O. Voit, Jonas S. Almeida:
Automated smoother for the numerical decoupling of dynamics models. BMC Bioinform. 8 (2007) - [j5]Susana Vinga, Jonas S. Almeida:
Local Renyi entropic profiles of DNA sequences. BMC Bioinform. 8 (2007) - 2006
- [j4]Jonas S. Almeida, Susana Vinga:
Computing distribution of scale independent motifs in biological sequences. Algorithms Mol. Biol. 1 (2006) - 2004
- [j3]Susana Vinga, Rodrigo Gouveia-Oliveira, Jonas S. Almeida:
Comparative evaluation of word composition distances for the recognition of SCOP relationships. Bioinform. 20(2): 206-215 (2004) - 2003
- [j2]Susana Vinga, Jonas S. Almeida:
Alignment-free sequence comparison-a review. Bioinform. 19(4): 513-523 (2003) - 2002
- [j1]Jonas S. Almeida, Susana Vinga:
Universal sequence map (USM) of arbitrary discrete sequences. BMC Bioinform. 3: 6 (2002)
Coauthor Index
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last updated on 2024-10-07 21:15 CEST by the dblp team
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