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Arlindo L. Oliveira

Researcher at University of Lisbon

Publications -  167
Citations -  7790

Arlindo L. Oliveira is an academic researcher from University of Lisbon. The author has contributed to research in topics: Compressed suffix array & Sequential logic. The author has an hindex of 34, co-authored 154 publications receiving 6991 citations. Previous affiliations of Arlindo L. Oliveira include Technical University of Lisbon & University of California, Berkeley.

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Journal ArticleDOI

Biclustering Algorithms for Biological Data Analysis: A Survey

Sara C. Madeira, +1 more
- 01 Jan 2004 - 
TL;DR: In this comprehensive survey, a large number of existing approaches to biclustering are analyzed, and they are classified in accordance with the type of biclusters they can find, the patterns of bIClusters that are discovered, the methods used to perform the search, the approaches used to evaluate the solution, and the target applications.
Posted ContentDOI

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Spyridon Bakas, +438 more
- 05 Nov 2018 - 
TL;DR: This study assesses the state-of-the-art machine learning methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018, and investigates the challenge of identifying the best ML algorithms for each of these tasks.
Journal ArticleDOI

The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae

Miguel C. Teixeira, +9 more
- 01 Jan 2006 - 
TL;DR: The YEAst Search for Transcriptional Regulators And Consensus Tracking (YEASTRACT; ) database is a repository of 12 346 regulatory associations between transcription factors and target genes, based on experimental evidence which was spread throughout 861 bibliographic references.

Temporal Data Mining: an overview

Cláudia Antunes, +1 more
TL;DR: A survey on the most significant techniques developed in the past ten years to deal with temporal sequences is provided.
Journal ArticleDOI

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

Miguel C. Teixeira, +13 more
- 01 Jan 2014 - 
TL;DR: The YEASTRACT information system was revisited and new information was added on the experimental conditions in which those associations take place and on whether the TF is acting on its target genes as activator or repressor, allowing the selection of specific environmental conditions, experimental evidence or positive/negative regulatory effect.