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Mostrando ítems 31-40 de 117
Artículo
Energy Time Series Forecasting Based on Pattern Sequence Similarity
(IEEE, 2011)
This paper presents a new approach to forecast the behavior of time series based on similarity of pattern sequences. First, clustering techniques are used with the aim of grouping and labeling the samples from a data set. ...
Artículo
Biclustering on expression data: A review
(Elsevier, 2015)
Biclustering has become a popular technique for the study of gene expression data, especially for discovering functionally related gene sets under different subsets of experimental conditions. Most of biclustering approaches ...
Capítulo de Libro
Efficient Incremental-Ranked Feature Selection in Massive Data
(Chapman and Hall/CRC, 2007)
Ponencia
A Deterministic Model to Infer Gene Networks from Microarray Data
(Springer, 2007)
Microarray experiments help researches to construct the str ucture of gene regulatory networks, i.e., networks representing relation ships among different genes. Filter and knowledge extraction processes are necessary in ...
Ponencia
A Nearest Neighbour-Based Approach for Viral Protein Structure Prediction
(Springer, 2011)
Protein tertiary structure prediction consists of determining the three-dimensional conformation of a protein based solely on its amino acid sequence. This study proposes a method in which protein fragments are assembled ...
Capítulo de Libro
Statistical Test-Based Evolutionary Segmentation of Yeast Genome
(2004)
Segmentation algorithms emerge observing fluctuations of DNA sequences in alternative homogeneous domains, which are named segments [1]. The key idea is that two genes that are controlled by a single regulatory system ...
Ponencia
Biclusters Evaluation Based on Shifting and Scaling Patterns
(Springer, 2007)
Microarray techniques have motivated the develop of differ ent methods to extract useful information from a biological point of view. Biclustering algorithms obtain a set of genes with the same behaviour over a group of ...
Ponencia
Improving the Efficiency of MECoMaP: A Protein Residue-Residue Contact Predictor
(Springer, 2013)
This work proposes an improvement of the multi-objective evolutionary method for the protein residue-residue contact prediction called MECoMaP. This method bases its prediction on physico chemical properties of amino ...
Ponencia
Spade: Algoritmo Evolutivo para Descubrir Patrones de Desplazamiento en Microarrays
(2007)
El interés por extraer conocimiento útil de datos de expresión genómica ha experimentado un enorme auge en los últimos años con el desarrollo de los microarrays. Las técnicas de biclustering son aplicadas para obtener ...
Tesis Doctoral
Mejoras en eficiencia y eficacia de algoritmos evolutivos para aprendizaje supervisado
(2004)
Los algoritmos evolutivos conforman una de las más importantes familias de modelos computacionales con aplicación en el campo del aprendizaje automático, cuya validez y efectividad han sido ampliamente estudiada en la ...