PONTES BALANZA , Beatriz

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La evaluación de biclusters se ha convertido en una de las tareas más importantes en el análisis de microarrays mediante técnicas de biclustering. En la actualidad existen diversas medidas de evaluación para biclusters de datos génicos. En este trabajo se realiza un análisis experimental de tres de las medidas más utilizadas actualmente....

Los algoritmos de biclustering persiguen obtener subconjuntos de genes que se expresan de una manera similar frente a un subconjunto de condiciones. Resulta necesario por tanto poder determinar la calidad de los biclusters obtenidos. En este artículo se presenta una técnica basada en programación lineal para la extracción de patrones de...

The majority of the biclustering approaches for microarray data analysis use the Mean Squared Residue (MSR) as the main evaluation measure for guiding the heuristic. MSR has been proven to be inefficient to recognize several kind of interesting patterns for biclusters. Transposed Virtual Error (VEt ) has recently been discovered to overcome...

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 subconjuntos de genes que se expresen de manera similar frente a determinadas condiciones en un microarray. Una manera de medir...

In recent work, stable evolutionary signal induced by orthologous proteins has been observed in a Yeast protein-protein interaction (PPI) network. This finding suggests more connected subgraphs of a PPI network to be potential mediators of evolutionary information. Because protein complexes are also likely to be present in such subgraphs, it...

El propósito de este artículo es detallar cómo conseguir un acceso eficiente a datos provenientes de un dispositivo genérico o planta industrial situada dentro de una red local. Dicho dispositivo debe estar conectado a un servidor OPC que permita acceder a las distintas variables. La situación que se intenta resolver es aquella en la que...

The most widespread biclustering algorithms use the Mean Squared Residue (MSR) as measure for assessing the quality of biclusters. MSR can identify correctly shifting patterns, but fails at discovering biclusters presenting scaling patterns. Virtual Error (VE) is a measure which improves the performance of MSR in this sense, since it is...

An noticeable number of biclustering approaches have been proposed proposed for the study of gene expression data, especially for discovering functionally related gene sets under different subsets of experimental conditions. In this context, recognizing groups of co-expressed or co-regulated genes, that is, genes which follow a similar...

In recent years, the interest in extracting useful knowledge from gene expression data has experimented an enormous increase with the development of microarray technique. Biclustering is a recent technique that aims at extracting a subset of genes that show a similar behaviour for a subset conditions. It is important, therefore, to measure the...

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 use a measure or cost function that determines the quality of biclusters. In such cases, the development of both a...

La mayoría de las heurísticas utilizadas para la búsqueda de biclusters en microarrays hacen uso del residuo cuadrático medio (MSR) como medida de evaluación de las distintas soluciones obtenidas. El uso de MSR permite obtener biclusters interesantes, sin embargo, algunos trabajos han demostrado que dicha medida no es válida para reconocer...

Las técnicas de biclustering aplicadas a datos de expresión génica persiguen la extracción de subconjuntos de genes co-expresados frente a subconjuntos de condiciones. Una de las medidas usada más frecuentemente para cuantificar la calidad de los biclusters es el residuo cuadrático medio, la cual ha sido incorporada en diferentes métodos...

La mayoría de las heurísticas utilizadas para la búsqueda de biclusters en microarrays hacen uso del residuo cuadrático medio (MSR) como medida de evaluación de las distintas soluciones generadas. El uso de MSR permite obtener biclusters importantes, sin embargo, recientemente se ha demostrado que dicha medida no es válida para reconocer...

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Biclustering is becoming a popular technique for the study of gene expression data. This is mainly due to the capability of biclustering to address the data using various dimensions simultaneously, as opposed to clustering, which can use only one dimension at the time. Different heuristics have been proposed in order to discover interesting...

Purpose – The purpose of this paper is to present a novel control mechanism for avoiding overlapping among biclusters in expression data. Design/methodology/approach – Biclustering is a technique used in analysis of microarray data. One of the most popular biclustering algorithms is introduced by Cheng and Church (2000) (Ch&Ch). Even if this...

Biclustering techniques aim at extracting significant subsets of genes and conditions from microarray gene expression data. This kind of algorithms is mainly based on two key aspects: the way in which they deal with gene similarity across the experimental conditions, that determines the quality of biclusters; and the heuristic or search...

Biclustering is a technique used in analysis of microarray data. It aims at discovering subsets of genes that presents the same tendency under a subsest of experimental conditions. Various techniques have been introduced for discovering significant biclusters. One of the most popular heuristic was introduced by Cheng and Church [6]. In the same...

Traditional gene selection methods often select the top–ranked genes according to their individual discriminative power. We propose to apply feature evaluation measure broadly used in the machine learning field and not so popular in the DNA microarray field. Besides, the application of sequential gene subset selection approaches is included. In...

Many heuristics used for finding biclusters in microarray data use the mean squared residue as a way of evaluating the quality of biclusters. This has led to the discovery of interesting biclusters. Recently it has been proven that the mean squared residue may fail to identify some interesting biclusters. This motivates us to introduce a new...

Analysing biological images coming from the microscope is challenging; not only is it complex to acquire the images, but also the three-dimensional shapes found on them. Thus, using automatic approaches that could learn and embrace that variance would be highly interesting for the field. Here, we use an evolutionary algorithm to obtain the 3D...

El análisis de datos de expresión genética es una de las tareas fundamentales dentro de la Bioinformática. Para llevar a cabo este estudio se hace necesaria la aplicación de técnicas de Minería de Datos. Las técnicas de Clustering han probado ser de gran utilidad a la hora de descubrir grupos de genes que intervienen en una misma función...

En este trabajo presentamos un conjunto de lexicones de polaridades semánticas a nivel de lemas para inglés, español, catalán, gallego y euskera. Estos lexicones están estructurados en capas, lo que permite seleccionar distintos compromisos entre la cantidad de estimaciones de positividad y negatividad y la precisión de dichas estimaciones. Los...