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Mostrando ítems 1-9 de 9
Artículo
Optimization of multi-classifiers for computational biology: application to gene finding and expression
(Springer, 2010)
Genomes of many organisms have been sequenced over the last few years. However, transforming such raw sequence data into knowledge remains a hard task. A great number of prediction programs have been developed to address ...
Artículo
A novel tree-based algorithm to discover seismic patterns in earthquake catalogs
(Elsevier, 2018)
A novel methodology is introduced in this research study to detect seismic precursors. Based on an existing approach, the new methodology searches for patterns in the historical data. Such patterns may contain statistical ...
Artículo
Pattern recognition to forecast seismic time series
(Elsevier, 2010)
Earthquakes arrive without previous warning and can destroy a whole city in a few seconds, causing numerous deaths and economical losses. Nowadays, a great effort is being made to develop techniques that forecast these ...
Artículo
MSL: A Measure to Evaluate Three-dimensional Patterns in Gene Expression Data
(SAGE Publications, 2015)
Microarray technology is highly used in biological research environments due to its ability to monitor the RNA concentration levels. The analysis of the data generated represents a computational challenge due to the ...
Artículo
Data Mining Techniques Applied to Hydrogen Lactose Breath Test
(Public Library of Science, 2017)
n this work, we present the results of applying data mining techniques to hydrogen breath test data. Disposal of H2 gas is of utmost relevance to maintain efficient microbial fermentation processes. Objectives Analyze ...
Artículo
TRIQ: a new method to evaluate triclusters
(BMC: part of Springer Verlag, 2018)
Background: Triclustering has shown to be a valuable tool for the analysis of microarray data since its appearance as an improvement of classical clustering and biclustering techniques. The standard for validation of ...
Artículo
Determining the best set of seismicity indicators to predict earthquakes. Two case studies: Chile and the Iberian Peninsula
(Elsevier, 2013)
This work explores the use of different seismicity indicators as inputs for artificial neural networks. The combination of multiple indicators that have already been successfully used in different seismic zones by the ...
Artículo
A Multiobjective Evolutionary Conceptual Clustering Methodology for Gene Annotation Within Structural Databases: A Case of Study on the Gene Ontology Database
(IEEE Computer Society, 2008)
Current tools and techniques devoted to examine the content of large databases are often hampered by their inability to support searches based on criteria that are meaningful to their users. These shortcomings are ...
Artículo
Mining 3D Patterns from Gene Expression Temporal Data: A New Tricluster Evaluation Measure
(Hindawi, 2014)
Microarrays have revolutionized biotechnological research.The analysis of newdata generated represents a computational challenge due to the characteristics of these data. Clustering techniques are applied to create groups ...