Obserwuj
Sara C. Madeira
Sara C. Madeira
LASIGE, Departamento de Informática, Faculdade de Ciências, Universidade de Lisboa
Zweryfikowany adres z fc.ul.pt - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Biclustering algorithms for biological data analysis: a survey
SC Madeira, AL Oliveira
IEEE/ACM transactions on computational biology and bioinformatics 1 (1), 24-45, 2004
27292004
Babelomics: an integrative platform for the analysis of transcriptomics, proteomics and genomic data with advanced functional profiling
I Medina, J Carbonell, L Pulido, SC Madeira, S Goetz, A Conesa, ...
Nucleic acids research 38 (suppl_2), W210-W213, 2010
3682010
The YEASTRACT database: an upgraded information system for the analysis of gene and genomic transcription regulation in Saccharomyces cerevisiae
MC Teixeira, PT Monteiro, JF Guerreiro, JP Gonçalves, NP Mira, ...
Nucleic acids research 42 (D1), D161-D166, 2014
2862014
YEASTRACT: providing a programmatic access to curated transcriptional regulatory associations in Saccharomyces cerevisiae through a web services interface
D Abdulrehman, PT Monteiro, MC Teixeira, NP Mira, AB Lourenco, ...
Nucleic acids research 39 (suppl_1), D136-D140, 2010
2412010
Identification of regulatory modules in time series gene expression data using a linear time biclustering algorithm
SC Madeira, MC Teixeira, I Sa-Correia, AL Oliveira
IEEE/ACM Transactions on Computational Biology and Bioinformatics 7 (1), 153-165, 2010
1452010
BicPAM: Pattern-based biclustering for biomedical data analysis
R Henriques, SC Madeira
Algorithms for Molecular Biology 9, 1-30, 2014
932014
BiGGEsTS: integrated environment for biclustering analysis of time series gene expression data
JP Gonçalves, SC Madeira, AL Oliveira
BMC research notes 2, 1-11, 2009
902009
Triclustering algorithms for three-dimensional data analysis: A comprehensive survey
R Henriques, SC Madeira
ACM Computing Surveys (CSUR) 51 (5), 95, 2018
872018
Chitosan–silica hybrid porous membranes
C Pandis, S Madeira, J Matos, A Kyritsis, JF Mano, JLG Ribelles
Materials Science and Engineering: C 42, 553-561, 2014
862014
A structured view on pattern mining-based biclustering
R Henriques, C Antunes, SC Madeira
Pattern Recognition 48 (12), 3941-3958, 2015
852015
PINTA: a web server for network-based gene prioritization from expression data
D Nitsch, LC Tranchevent, JP Goncalves, JK Vogt, SC Madeira, Y Moreau
Nucleic acids research 39 (suppl_2), W334-W338, 2011
822011
A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series
SC Madeira, AL Oliveira
Algorithms for Molecular Biology 4, 1-39, 2009
782009
A linear time biclustering algorithm for time series gene expression data
SC Madeira, AL Oliveira
Algorithms in Bioinformatics, 39-52, 2005
752005
BicPAMS: Software for biological data analysis with pattern-based biclustering
R Henriques, FL Ferreira, SC Madeira
BMC Bioinformatics 18 (1), 82, 2017
742017
Predicting progression of mild cognitive impairment to dementia using neuropsychological data: A supervised learning approach using time windows
T Pereira, L Lemos, S Cardoso, D Silva, A Rodrigues, I Santana, ...
BMC Medical Informatics and Decision Making 17 (1), 110, 2017
612017
Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer’s disease: a feature selection ensemble combining stability and predictability
T Pereira, FL Ferreira, S Cardoso, D Silva, A de Mendonça, M Guerreiro, ...
BMC Medical Informatics and Decision Making 18 (1), 1-20, 2018
562018
Spreading in ALS: The relative impact of upper and lower motor neuron involvement
M Gromicho, M Figueiral, H Uysal, J Grosskreutz, M Kuzma‐Kozakiewicz, ...
Annals of Clinical and Translational Neurology, 2020
542020
BicSPAM: Flexible biclustering using sequential patterns
R Henriques, SC Madeira
BMC bioinformatics 15 (1), 130, 2014
542014
Short-term electricity load forecasting—A systematic approach from system level to secondary substations
MG Pinheiro, SC Madeira, AP Francisco
Applied Energy 332, 120493, 2023
522023
BSig: Evaluating the statistical significance of biclustering solutions
R Henriques, SC Madeira
Data Mining and Knowledge Discovery 32 (1), 124-161, 2017
522017
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