Prioritization of candidate cancer genes-an aid to oncogenomic studies

The development of techniques for oncogenomic analyses such as array comparative genomic hybridization, messenger RNA expression arrays and mutational screens have come to the fore in modern cancer research. Studies utilizing these techniques are able to highlight panels of genes that are altered in cancer. However, these candidate cancer genes must then be scrutinized to reveal whether they contribute to oncogenesis or are coincidental and non-causative. We present a computational method for the prioritization of candidate (i) proto-oncogenes and (ii) tumour suppressor genes from oncogenomic experiments. We constructed computational classifiers using different combinations of sequence and functional data including sequence conservation, protein domains and interactions, and regulatory data. We found that these classifiers are able to distinguish between known cancer genes and other human genes. Furthermore, the classifiers also discriminate candidate cancer genes from a recent mutational screen from other human genes. We provide a web-based facility through which cancer biologists may access our results and we propose computational cancer gene classification as a useful method of prioritizing candidate cancer genes identified in oncogenomic studies.

Towards Application of One-Class Classification Methods to Medical Data

In the problem of one-class classification (OCC) one of the classes, the target class, has to be distinguished from all other possible objects, considered as nontargets. In many biomedical problems this situation arises, for example, in diagnosis, image based tumor recognition or analysis of electrocardiogram data. In this paper an approach to OCC based on a typicality test is experimentally compared with reference state-of-the-art OCC techniques-Gaussian, mixture of Gaussians, naive Parzen, Parzen, and support vector data description-using biomedical data sets. We evaluate the ability of the procedures using twelve experimental data sets with not necessarily continuous data. As there are few benchmark data sets for one-class classification, all data sets considered in the evaluation have multiple classes. Each class in turn is considered as the target class and the units in the other classes are considered as new units to be classified. The results of the comparison show the good performance of the typicality approach, which is available for high dimensional data; it is worth mentioning that it can be used for any kind of data (continuous, discrete, or nominal), whereas state-of-the-art approaches application is not straightforward when nominal variables are present.

Use of generalised additive models to categorise continuous variables in clinical prediction

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Foreign Aid Linked to Infrastructure and/or Pollution Abatement

This paper studies the macroeconomic effects of a permanent increase in foreign aid in a model that takes into account environmental quality. We develop a dynamic equilibrium model in which both public investment in infrastructure and environmental protection can be financed using domestic resources and international aid programs. The framework considers four scenarios for international aid: untied aid,aid fully tied to infrastructure, aid fully tied to abatement, and aid equally tied to both types of expenditures. We find that the effects of the transfers may depend on (i) the structural characteristics of the recipient country (the elasticity of substitution in production and its dependence on environment and natural resources) and on (ii) how recipient countries distribute their public expenditure. These results underscore the importance of these factors when deciding how and to what extent to tie aid to infrastructure and/or pollution abatement.

El arte como terapia en salud mental

Los planes de atención de enfermería actuales recogen nuevas intervenciones, alternativas a los cuidados convencionales y algunas de ellas poco estudiadas, como lo es el uso de distintas formas de arte como terapia complementaria a un tratamiento médico. Uno de los campos donde más fuerza tiene es en el de la salud mental, ya que permite actuar tanto de forma terapéutica como preventiva. La arteterapia engloba intervenciones con cualquier forma de arte como la pintura, la fotografía, la música o el teatro. Su terreno de actuación, además de la parte puramente asistencial, incluye el ámbito social y educativo que en muchas ocasiones son olvidados en los cuidados enfermeros. Una revisión de este tipo es necesaria para guiar las intervenciones enfermeras englobadas en la mejora de la comunicación no verbal en pacientes con los que la psicoterapia tradicional a través del diálogo no es eficaz y como herramienta de estimulación cognitiva y prevención de síntomas depresivos o ansiosos que conllevan muchas patologías médicas. El objetivo de esta revisión es mostrar una visión general de la situación actual de este tipo de terapia, repasando su evolución histórica y valorar su eficacia a partir de la evidencia científica encontrada. Para ello se realizó un análisis de las publicaciones que tratan este tema, incluyendo artículos de investigación que analizan el efecto de distintos tipos de terapias con arte sobre diversos trastornos, teniendo siempre en cuenta el tipo de artículo analizado así como la calidad científica de las publicaciones.