Susana Vinga

Orcid: 0000-0002-1954-5487

According to our database1, Susana Vinga authored at least 66 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Identification of biomarkers predictive of metastasis development in early-stage colorectal cancer using network-based regularization.
BMC Bioinform., December, 2023

Using Markov chains and temporal alignment to identify clinical patterns in Dementia.
J. Biomed. Informatics, April, 2023

Comparative Analysis of Machine Learning Models for Time-Series Forecasting of Escherichia Coli Contamination in Portuguese Shellfish Production Areas.
Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Causal Graph Discovery for Explainable Insights on Marine Biotoxin Shellfish Contamination.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Evaluating the Causal Role of Environmental Data in Shellfish Biotoxin Contamination on the Portuguese Coast.
Proceedings of the Progress in Artificial Intelligence, 2023

2022
Tutorial - Machine Learning and Information Theoretic Methods for Molecular Biology and Medicine.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

Comparative Evaluation of Classification Indexes and Outlier Detection of Microcytic Anaemias in a Portuguese Sample.
Proceedings of the Progress in Artificial Intelligence, 2022

2021
Coupling sparse Cox models with clustering of longitudinal transcriptomics data for trauma prognosis.
BioData Min., 2021

Structured sparsity regularization for analyzing high-dimensional omics data.
Briefings Bioinform., 2021

2020
Tracking intratumoral heterogeneity in glioblastoma via regularized classification of single-cell RNA-Seq data.
BMC Bioinform., 2020

MOMO - multi-objective metabolic mixed integer optimization: application to yeast strain engineering.
BMC Bioinform., 2020

Sparse Consensus Classification for Discovering Novel Biomarkers in Rheumatoid Arthritis.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020

Identification of Common Gene Signatures in Microarray and RNA-Sequencing Data Using Network-Based Regularization.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020

Network-Based Variable Selection for Survival Outcomes in Oncological Data.
Proceedings of the Bioinformatics and Biomedical Engineering, 2020

Predictive Medicine Using Interpretable Recurrent Neural Networks.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Latent Variable Modelling and Variational Inference for scRNA-seq Differential Expression Analysis.
Proceedings of the Computational Advances in Bio and Medical Sciences, 2020

2019
AliClu - Temporal sequence alignment for clustering longitudinal clinical data.
BMC Medical Informatics Decis. Mak., 2019

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., 2019

Twiner: correlation-based regularization for identifying common cancer gene signatures.
BMC Bioinform., 2019

On the Role of Hub and Orphan Genes in the Diagnosis of Breast Invasive Carcinoma.
Proceedings of the Machine Learning, Optimization, and Data Science, 2019

Random Sample Consensus for the Robust Identification of Outliers in Cancer Data.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

MSAX: Multivariate Symbolic Aggregate Approximation for Time Series Classification.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

2018
Simplifying biochemical tumorous bone remodeling models through variable order derivatives.
Comput. Math. Appl., 2018

Ensemble outlier detection and gene selection in triple-negative breast cancer data.
BMC Bioinform., 2018

Identification of influential observations in high-dimensional cancer survival data through the rank product test.
BioData Min., 2018

Variable Selection and Outlier Detection in Regularized Survival Models: Application to Melanoma Gene Expression Data.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018

Unravelling Breast and Prostate Common Gene Signatures by Bayesian Network Learning.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

Variational Inference in Probabilistic Single-cell RNA-seq Models.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

2017
Unsupervised learning of pharmacokinetic responses.
Comput. Stat., 2017

2016
Optimal and receding horizon control of tumor growth in myeloma bone disease.
Biomed. Signal Process. Control., 2016

DegreeCox - a network-based regularization method for survival analysis.
BMC Bioinform., 2016

2015
Modeling multiple experiments using regularized optimization: A case study on bacterial glucose utilization dynamics.
Comput. Biol. Medicine, 2015

Polynomial-time algorithm for learning optimal tree-augmented dynamic Bayesian networks.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Outlier Detection in Cox Proportional Hazards Models Based on the Concordance c-Index.
Proceedings of the Machine Learning, Optimization, and Big Data, 2015

Fuzzy Clustering for Incomplete Short Time Series Data.
Proceedings of the Progress in Artificial Intelligence, 2015

Outlier Detection in Survival Analysis based on the Concordance C-index.
Proceedings of the BIOINFORMATICS 2015, 2015

2014
Identifying IIR filter coefficients using particle swarm optimization with application to reconstruction of missing cardiovascular signals.
Eng. Appl. Artif. Intell., 2014

KiMoSys: a web-based repository of experimental data for KInetic MOdels of biological SYStems.
BMC Syst. Biol., 2014

Information theory applications for biological sequence analysis.
Briefings Bioinform., 2014

Editorial: Alignment-free methods in computational biology.
Briefings Bioinform., 2014

Exploring the Cellular Objective in Flux Balance Constraint-Based Models.
Proceedings of the Computational Methods in Systems Biology, 2014

2013
BGFit: management and automated fitting of biological growth curves.
BMC Bioinform., 2013

Parameter estimation and identifiability of a HIV-1 model.
Proceedings of the 21st Mediterranean Conference on Control and Automation, 2013

Hybrid identification of time-varying parameter with particle filtering and expectation maximization.
Proceedings of the 21st Mediterranean Conference on Control and Automation, 2013

Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

2012
Pattern matching through Chaos Game Representation: bridging numerical and discrete data structures for biological sequence analysis.
Algorithms Mol. Biol., 2012

Fractal MapReduce decomposition of sequence alignment.
Algorithms Mol. Biol., 2012

Identification of Hiv-1 Dynamics - Estimating the Noise Model, Constant and Time-varying Parameters of Long-term Clinical Data.
Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012

Multi-level Dynamic Modeling in Biological Systems - Application of Hybrid Petri Nets to Network Simulation.
Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012

2011
A Survey on Methods for Modeling and Analyzing Integrated Biological Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Quantitative Modeling of the <i>Saccharomyces cerevisiae</i> Flr1 regulatory Network Using an S-System Formalism.
J. Bioinform. Comput. Biol., 2011

Quantitative Modeling the Saccharomyces cerevisiae FLR1 Regulatory Network Using an S-System Formalism.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

Nonlinear MPC of HIV-1 infection with periodic inputs.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Unified Modeling of Several Perturbation Experiments in Systems Biology - A Case Study on the Glucose Uptake of Lactococcus Lactis.
Proceedings of the BIOINFORMATICS 2011, 2011

2010
Optimization strategies for metabolic networks.
BMC Syst. Biol., 2010

A Data Mining Approach for the Detection of High-Risk Breast Cancer Groups.
Proceedings of the Advances in Bioinformatics, 2010

2009
Identification of neutral biochemical network models from time series data.
BMC Syst. Biol., 2009

Biological sequences as pictures - a generic two dimensional solution for iterated maps.
BMC Bioinform., 2009

2008
Parameter optimization in S-system models.
BMC Syst. Biol., 2008

An analysis of the positional distribution of DNA motifs in promoter regions and its biological relevance.
BMC Bioinform., 2008

2007
Local Renyi entropic profiles of DNA sequences.
BMC Bioinform., 2007

Automated smoother for the numerical decoupling of dynamics models.
BMC Bioinform., 2007

2006
Computing distribution of scale independent motifs in biological sequences.
Algorithms Mol. Biol., 2006

2004
Comparative evaluation of word composition distances for the recognition of SCOP relationships.
Bioinform., 2004

2003
Alignment-free sequence comparison-a review.
Bioinform., 2003

2002
Universal sequence map (USM) of arbitrary discrete sequences.
BMC Bioinform., 2002


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