M. Lopes

发表

A bootstrap‐based strategy for spectral interval selection in PLS regression

L. Brás, M. Lopes, A. P. Ferreira, 2008 .

Near-infrared hyperspectral unmixing based on a minimum volume criterion for fast and accurate chemometric characterization of counterfeit tablets.

Mário A. T. Figueiredo, M. Lopes, J. Bioucas-Dias, 2010, Analytical chemistry.

Tracking intratumoral heterogeneity in glioblastoma via regularized classification of single-cell RNA-Seq data

Susana Vinga, Marta B. Lopes, M. Lopes, 2020, BMC Bioinformatics.

Quantification of Components in Non-Homogenous Pharmaceutical Tablets Using near Infrared Reflectance Imaging

Mário A. T. Figueiredo, M. Lopes, J. Bioucas-Dias, 2010 .

Does Nonlinear Modeling Play a Role in Plasmid Bioprocess Monitoring Using Fourier Transform Infrared Spectra?

Mário A. T. Figueiredo, M. Lopes, J. Bioucas-Dias, 2017, Applied spectroscopy.

TCox: Correlation-Based Regularization Applied to Colorectal Cancer Survival Data

M. Lopes, S. Vinga, L. Costa, 2020, Biomedicines.

Network-based sparse modeling of breast invasive carcinoma survival data

M. Lopes, A. Veríssimo, Eunice Carrasquinha, 2017 .

In Situ Near-Infrared (NIR) versus High-Throughput Mid-Infrared (MIR) Spectroscopy to Monitor Biopharmaceutical Production

M. Lopes, L. Fonseca, C. Calado, 2015, Applied spectroscopy.

A comprehensive high-throughput FTIR spectroscopy-based method for evaluating the transfection event: estimating the transfection efficiency and extracting associated metabolic responses

M. Lopes, Ricardo M. Couto, C. Calado, 2015, Analytical and Bioanalytical Chemistry.

Assessing plasmid bioprocess reproducibility and C‐source uptake stage through multivariate analysis of offline and online data

M. Lopes, C. Calado, 2018 .

Variable Selection and Outlier Detection in Regularized Survival Models: Application to Melanoma Gene Expression Data

Susana Vinga, André Veríssimo, Eunice Carrasquinha, 2018, LOD.

In situ NIR spectroscopy monitoring of plasmid production processes effect of producing strain, medium composition and the cultivation strategy

Marta B. Lopes, Kristala L. J. Prather, Cecília R.C. Calado, 2015 .

Robust identification of target genes and outliers in triple-negative breast cancer data

P. Rousseeuw, M. Lopes, S. Vinga, 2018, Statistical methods in medical research.

On the Role of Hub and Orphan Genes in the Diagnosis of Breast Invasive Carcinoma

Susana Vinga, André Veríssimo, Eunice Carrasquinha, 2019, LOD.

Molecular fingerprint of human gastric cell line infected by Helicobacter pylori

M. Lopes, C. Calado, P. Sampaio, 2015, 2015 IEEE 4th Portuguese Meeting on Bioengineering (ENBENG).

Time-Lagged Correlation Analysis of Shellfish Toxicity Reveals Predictive Links to Adjacent Areas, Species, and Environmental Conditions

M. Lopes, S. Vinga, P. Costa, 2022, Toxins.

A Review of Recent Machine Learning Advances for Forecasting Harmful Algal Blooms and Shellfish Contamination

M. Lopes, S. Vinga, L. Krippahl, 2021 .

Identification of influential observations in high-dimensional cancer survival data through the rank product test

Susana Vinga, André Veríssimo, Eunice Carrasquinha, 2018, BioData Mining.

The Role of Network Science in Glioblastoma

Susana Vinga, Marta B Lopes, Eduarda P Martins, 2021, Cancers.

Investigation into classification/sourcing of suspect counterfeit Heptodintrade mark tablets by near infrared chemical imaging.

Jean-Claude Wolff, Marta B Lopes, M. Lopes, 2009, Analytica chimica acta.

Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment

M. Lopes, V. Moreno, A. Gruca, 2021, Frontiers in Microbiology.

Identification of Common Gene Signatures in Microarray and RNA-Sequencing Data Using Network-Based Regularization

Susana Vinga, Marta B. Lopes, Inês Diegues, 2020, IWBBIO.

Updating TCGA glioma classification through integration of molecular profiling data following the 2016 and 2021 WHO guidelines

Eduarda P Martins, M. Lopes, S. Vinga, 2023, bioRxiv.

Determination of Cell Abundances and Paralytic Shellfish Toxins in Cultures of the Dinoflagellate Gymnodinium catenatum by Fourier Transform Near Infrared Spectroscopy

M. Lopes, A. Amorim, Pedro Reis Costa, 2018, Journal of Marine Science and Engineering.

Ensemble outlier detection and gene selection in triple-negative breast cancer data

Niko Beerenwinkel, Susana Vinga, André Veríssimo, 2018, BMC Bioinformatics.

Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions

Aldert L. Zomer, P. May, G. Zeller, 2021, Frontiers in Microbiology.

Determination of the composition of counterfeit Heptodin tablets by near infrared chemical imaging and classical least squares estimation.

Jean-Claude Wolff, Mário A. T. Figueiredo, Marta B Lopes, 2009, Analytica chimica acta.

Identification of biomarkers predictive of metastasis development in early-stage colorectal cancer using network-based regularization

M. Lopes, S. Vinga, R. Vijayaraghavan, 2023, BMC Bioinformatics.

Sparse network-based regularization for the analysis of patientomics high-dimensional survival data

Marie-France Sagot, Arlindo L. Oliveira, Susana Vinga, 2018, bioRxiv.

Twiner: correlation-based regularization for identifying common cancer gene signatures

M. Lopes, S. Vinga, S. Casimiro, 2019, BMC Bioinformatics.

ROSIE: RObust Sparse ensemble for outlIEr detection and gene selection in cancer omics data

M. Lopes, S. Vinga, N. Radde, 2022, Statistical methods in medical research.

Twiner: correlation-based regularization for identifying common cancer gene signatures

Susana Vinga, Marta B. Lopes, Sandra Casimiro, 2019, BMC Bioinformatics.

Metabolic profiling of recombinant Escherichia coli cultivations based on high‐throughput FT‐MIR spectroscopic analysis

Marta B Lopes, M. Lopes, Filipa Rosa, 2017, Biotechnology progress.

Kinetic modeling of plasmid bioproduction in Escherichia coli DH5α cultures over different carbon-source compositions.

M. Lopes, C. Calado, Gabriel N. R. Martins, 2014, Journal of biotechnology.

Investigating Counterfeit Medicines—The near Infrared Chemical Imaging Picture

Mário A. T. Figueiredo, M. Lopes, J. Bioucas-Dias, 2011 .

Ensemble outlier detection and gene selection in triple-negative breast cancer data

M. Lopes, N. Beerenwinkel, S. Vinga, 2018, BMC Bioinformatics.

Monitoring the ex‐vivo expansion of human mesenchymal stem/stromal cells in xeno‐free microcarrier‐based reactor systems by MIR spectroscopy

Ana Fernandes-Platzgummer, Marta B Lopes, M. Lopes, 2016, Biotechnology progress.

Modelling, monitoring and control of plasmid bioproduction in Escherichia coli cultures

V. V. Lopes, M. Lopes, Ricardo M. Couto, 2012, 2012 IEEE 2nd Portuguese Meeting in Bioengineering (ENBENG).

High-throughput FTIR-based bioprocess analysis of recombinant cyprosin production

Marta B. Lopes, M. Lopes, Pedro N. Sampaio, 2016, Journal of Industrial Microbiology & Biotechnology.

Inferring diagnostic and prognostic gene expression signatures across WHO glioma classifications: A network-based approach

M. Lopes, S. Vinga, Roberta Coletti, 2023, 2305.12207.

Tracking intratumoral heterogeneity in glioblastoma via regularized classification of single-cell RNA-Seq data

M. Lopes, S. Vinga, 2020, BMC Bioinformatics.

Updating TCGA glioma classification through integration of molecular profiling data following the 2016 and 2021 WHO guidelines

Eduarda P Martins, M. Lopes, S. Vinga, 2023, bioRxiv.

Learning Biomedical Networks: Toward Data-Informed Clinical Decision and Therapy

Susana Vinga, Marta B. Lopes, M. Lopes, 2021, Computational Biology.

Unravelling Breast and Prostate Common Gene Signatures by Bayesian Network Learning

Susana Vinga, Alexandra M. Carvalho, Marta B. Lopes, 2018, CIBB.