S. Madeira

发表

Biclustering algorithms for biological data analysis: a survey

Arlindo L. Oliveira, Sara C. Madeira, S. Madeira, 2004, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Discriminating Alzheimer ’ s Disease from Mild Cognitive Impairment using Neuropsychological Data

S. Madeira, L. Lemos, Dina Silva, 2012 .

BicSPAM: flexible biclustering using sequential

S. Madeira, 2014 .

An Overview on Mixture and Hidden Markov Models of Gene Expression in Time Series

Arlindo L. Oliveira, S. Madeira, 2008 .

Prognostic Prediction through Biclustering-Based Classification of Clinical Gene Expression Time Series

S. Madeira, João André Carriço, A. Carreiro, 2011, J. Integr. Bioinform..

Interactogeneous: Disease Gene Prioritization Using Heterogeneous Networks and Full Topology Scores

Alexandre P. Francisco, Joana P. Gonçalves, Y. Moreau, 2012, PloS one.

Do Data Mining Methods Support the Three-Group Diagnostic Model of Primary Progressive Aphasia?

S. Madeira, M. Guerreiro, A. Mendonça, 2014 .

Predicting the Need for Non-Invasive Ventilation in Patients with Amyotrophic Lateral Sclerosis

Mamede de Carvalho, Sara C. Madeira, Pedro M. T. Amaral, 2012 .

Merging Temporally-Related Clinical Data from Patients with Amyotrophic Lateral Sclerosis using Constraint-Based Hierarchical Clustering

Pedro M. T. Amaral, S. Madeira, P. Tomás, 2012 .

Comparison of target selection methods in direct marketing

Joao M. C. Sousa, Sara C. Madeira, J. Sousa, 2002 .

Biclustering-based imputation in longitudinal data

Alexandra M. Carvalho, S. Madeira, I. Nolasco, 2015 .

Spreading in ALS: The relative impact of upper and lower motor neuron involvement

M. Swash, M. de Carvalho, S. Petri, 2020, Annals of clinical and translational neurology.

Extracting Concepts from Dynamic Legislative Text Collections

G. Dias, S. Madeira, J. Lopes, 2002 .

Generative modeling of repositories of health records for predictive tasks

S. Madeira, R. Henriques, C. Antunes, 2015, Data Mining and Knowledge Discovery.

Short-term electricity load forecasting—A systematic approach from system level to secondary substations

Alexandre P. Francisco, S. Madeira, Marco Aurélio Piacentini Pinheiro, 2023, Applied Energy.

Multi-period classification: learning sequent classes from temporal domains

S. Madeira, R. Henriques, C. Antunes, 2015, Data Mining and Knowledge Discovery.

Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data

Sara C. Madeira, Rui T. Henriques, S. Madeira, 2015 .

High Level Thread-Based Competitive Or-Parallelism in Logtalk

Ricardo Rocha, Sara C. Madeira, Paulo Moura, 2009, PADL.

PINTA: a web server for network-based gene prioritization from expression data

Yves Moreau, Joana P. Gonçalves, Sara C. Madeira, 2011, Nucleic Acids Res..

Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling

Joaquín Dopazo, Ignacio Medina, Stefan Götz, 2010, Nucleic Acids Res..

The YEASTRACT database: an upgraded information system for the analysis of gene and genomic transcription regulation in Saccharomyces cerevisiae

Catarina Costa, Alexandre P. Francisco, Arlindo L. Oliveira, 2013, Nucleic Acids Res..

BSig: evaluating the statistical significance of biclustering solutions

Rui Henriques, Sara C. Madeira, S. Madeira, 2017, Data Mining and Knowledge Discovery.

A structured view on pattern mining-based biclustering

Cláudia Antunes, Rui Henriques, Sara C. Madeira, 2015, Pattern Recognit..

YEASTRACT: providing a programmatic access to curated transcriptional regulatory associations in Saccharomyces cerevisiae through a web services interface

Alexandre P. Francisco, Arlindo L. Oliveira, Sara C. Madeira, 2010, Nucleic Acids Res..

TFRank: network-based prioritization of regulatory associations underlying transcriptional responses

Alexandre P. Francisco, Arlindo L. Oliveira, Joana P. Gonçalves, 2011, Bioinform..

Classification of primary progressive aphasia: Do unsupervised data mining methods support a logopenic variant?

Telma Pereira, Manuela Guerreiro, Carolina Maruta, 2015, Amyotrophic lateral sclerosis & frontotemporal degeneration.

Shapelets to Classify Energy Demand Time Series

Alexandre P. Francisco, S. Madeira, Marco Aurélio Piacentini Pinheiro, 2022, Energies.

Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows

Sara C. Madeira, Telma Pereira, Sandra Cardoso, 2017, BMC Medical Informatics and Decision Making.

Integrative biomarker discovery in neurodegenerative diseases

Sara C Madeira, André V Carreiro, Alexandre Mendonça, 2015, Wiley interdisciplinary reviews. Systems biology and medicine.

Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer’s disease: a feature selection ensemble combining stability and predictability

Sara C. Madeira, Manuela Guerreiro, Telma Pereira, 2018, BMC Medical Informatics and Decision Making.

A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series

Arlindo L. Oliveira, Sara C. Madeira, S. Madeira, 2009, Algorithms for Molecular Biology.

Classifi cation of primary progressive aphasia

Sara C. Madeira, Telma Pereira, Carolina Maruta, 2015 .

Biclustering with Flexible Plaid Models to Unravel Interactions between Biological Processes

Rui Henriques, Sara C. Madeira, S. Madeira, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An Efficient Biclustering Algorithm for Finding Genes with Similar Patterns in Time-series Expression Data

Arlindo L. Oliveira, Sara C. Madeira, S. Madeira, 2007, APBC.

Triclustering Algorithms for Three-Dimensional Data Analysis

Rui Henriques, Sara C. Madeira, S. Madeira, 2018, ACM Comput. Surv..

BiC2PAM: constraint-guided biclustering for biological data analysis with domain knowledge

S. Madeira, R. Henriques, 2016, Algorithms for Molecular Biology.

Pattern-Based Biclustering with Constraints for Gene Expression Data Analysis

Rui Henriques, Sara C. Madeira, S. Madeira, 2015, EPIA.

Physical Activity Promotion Tools in the Portuguese Primary Health Care: An Implementation Research

P. Teixeira, S. Madeira, R. Mendes, 2020, International journal of environmental research and public health.

Prognostic models based on patient snapshots and time windows: Predicting disease progression to assisted ventilation in Amyotrophic Lateral Sclerosis

Pedro Tomás, Mamede de Carvalho, Sara C. Madeira, 2015, J. Biomed. Informatics.

Methods for the Efficient Discovery of Large Item-Indexable Sequential Patterns

Cláudia Antunes, Rui Henriques, Sara C. Madeira, 2013, NFMCP.

Improving Prognostic Prediction from Mild Cognitive Impairment to Alzheimer's Disease Using Genetic Algorithms

Sara C. Madeira, Sandra Cardoso, Dina Silva, 2017, PACBB.

Predicting Non-invasive Ventilation in ALS Patients Using Stratified Disease Progression Groups

Mamede de Carvalho, Sara C. Madeira, Marta Gromicho, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Towards a reliable prediction of conversion from Mild Cognitive Impairment to Alzheimer's Disease: stepwise learning using time windows

Sara C. Madeira, Telma Pereira, Manuela Guerreiro, 2017, MIH@KDD.

Class Imbalance in the Prediction of Dementia from Neuropsychological Data

Sara C. Madeira, Alexandra M. Carvalho, Dina Silva, 2013, EPIA.

BicPAMS: software for biological data analysis with pattern-based biclustering

Francisco L. Ferreira, S. Madeira, R. Henriques, 2017, BMC Bioinformatics.

BicSPAM: flexible biclustering using sequential patterns

S. Madeira, R. Henriques, 2014, BMC Bioinformatics.

BicPAM: Pattern-based biclustering for biomedical data analysis

Rui Henriques, Sara C. Madeira, S. Madeira, 2014, Algorithms for Molecular Biology.

G-Tric: generating three-way synthetic datasets with triclustering solutions

Rui Henriques, Sara C. Madeira, João Lobo, 2021, BMC Bioinform..

Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS

Mamede de Carvalho, Rui Henriques, Sara C. Madeira, 2020, PACBB.

e-BiMotif: Combining Sequence Alignment and Biclustering to Unravel Structured Motifs

Joana P. Gonçalves, Sara C. Madeira, S. Madeira, 2010, IWPACBB.

Identification of Regulatory Modules in Time Series Gene Expression Data Using a Linear Time Biclustering Algorithm

Arlindo L. Oliveira, Miguel C. Teixeira, S.C. Madeira, 2010, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

FleBiC: Learning classifiers from high-dimensional biomedical data using discriminative biclusters with non-constant patterns

Rui Henriques, Sara C. Madeira, S. Madeira, 2021, Pattern Recognit..

An Architecture Based on Fuzzy Systems for Personalized Medicine in ICUs

Susana M. Vieira, Leo Celi, Stan N. Finkelstein, 2019, 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

BicNET: Flexible module discovery in large-scale biological networks using biclustering

Rui Henriques, Sara C. Madeira, S. Madeira, 2016, Algorithms for Molecular Biology.

Biclustering algorithms for biological data analysis: a survey

Arlindo L. Oliveira, S. Madeira, 2004, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

BicNET: Efficient Biclustering of Biological Networks to Unravel Non-Trivial Modules

Rui Henriques, Sara C. Madeira, S. Madeira, 2015, WABI.

Integrative biomarker discovery in neurodegenerative diseases

M. de Carvalho, S. Madeira, A. Carreiro, 2015, Wiley interdisciplinary reviews. Systems biology and medicine.

Regulatory Snapshots: Integrative Mining of Regulatory Modules from Expression Time Series and Regulatory Networks

Alexandre P. Francisco, Joana P. Gonçalves, Sara C. Madeira, 2012, PloS one.

Network-Based Disease Candidate Gene Prioritization: Towards Global Diffusion in Heterogeneous Association Networks

Yves Moreau, Joana P. Gonçalves, Sara C. Madeira, 2010, NyNaK.

A Linear Time Biclustering Algorithm for Time Series Gene Expression Data

Arlindo L. Oliveira, Sara C. Madeira, S. Madeira, 2005, WABI.

Impact of assimilable nitrogen availability in glucose uptake kinetics in Saccharomyces cerevisiae during alcoholic fermentation

S. Madeira, A. Mendes-Ferreira, I. Sá-Correia, 2012, Microbial Cell Factories.

LateBiclustering: Efficient Heuristic Algorithm for Time-Lagged Bicluster Identification

Joana P. Gonçalves, Sara C. Madeira, S. Madeira, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

BicSPAM: flexible biclustering using sequential patterns

Rui Henriques, Sara C. Madeira, S. Madeira, 2014, BMC Bioinformatics.