Marta B. Lopes

Orcid: 0000-0002-4135-1857

According to our database1, Marta B. Lopes authored at least 21 papers between 2009 and 2023.

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

Timeline

Legend:

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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

Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods.
BioData Min., January, 2023

Satellite-based feature extraction and multivariate time-series prediction of biotoxin contamination in shellfish.
CoRR, 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

Regularized Generalized Linear Models to Disclose Host-Microbiome Associations in Colorectal Cancer.
Proceedings of the 2023 6th International Conference on Mathematics and Statistics, 2023

Multi-omics Data Integration and Network Inference for Biomarker Discovery in Glioma.
Proceedings of the Progress in Artificial Intelligence, 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
Forecasting biotoxin contamination in mussels across production areas of the Portuguese coast with Artificial Neural Networks.
Knowl. Based Syst., 2022

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

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

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

2011
Comparison of near infrared and Raman hyperspectral unmixing performances for chemical identification of pharmaceutical tablets.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

2009
Spectral unmixing via minimum volume simplices: Application to near infrared spectra of counterfeit tablets.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009


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