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Mostrando ítems 1-10 de 14
Capítulo de Libro
Learning Robust Dynamic Networks in Prokaryotes by Gene Expression Networks Iterative Explorer (GENIE)
(Springer, 2008)
Genetic and genomic approaches have been used successfully to assign genes to distinct regulatory networks, but the uncertainty concerning the connec tions between genes, the ambiguity inherent to the biological processes, ...
Ponencia
Classification of Gene Expression Profiles: Comparison of K-means and Expectation Maximization Algorithms
(IEEE Computer Society, 2008)
Biomedical research has been revolutionized by high throughput techniques and the enormous amount of data they are able to generate. In particular technology has the capacity to monitor changes in RNA abundance for thou ...
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 ...
Ponencia
Mining Quantitative Association Rules in Microarray Data Using Evolutive Algorithms
(SciTePress, 2011)
The microarray technique is able to monitor the change in concentration of RNA in thousands of genes simultaneously. The interest in this technique has grown exponentially in recent years and the difficulties in analyzing ...
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 ...
Ponencia
Fusion of Domain Knowledge for Dynamic Learning in Transcriptional Networks
(Springer, 2006)
A critical challenge of the postgenomic era is to understand how genes are differentially regulated even when they belong to a given network. Because the fundamental mechanism controlling gene expression operates at ...
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 ...