Pneumonia and influenza: specific considerations in care homes

This review provides an update on current evidence surrounding epidemiology, treatment and prevention of lower respiratory tract infection, with special reference to pneumonia and influenza, in care home residents. The care home sector is growing and provides a unique ecological niche for infections, housing frail older people with multiple comorbidities and frequent contact with healthcare services. There are therefore considerations in the epidemiology and management of these conditions which are specific to care homes. Opportunities for prevention, in the form of vaccination strategies and improving oral hygiene, may reduce the burden of these diseases in the future. Work is needed to research these infections specifically in the care home setting and this article highlights current gaps in our knowledge.

ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization

Background: Statistical analysis of DNA microarray data provides a valuable diagnostic tool for the investigation of genetic components of diseases. To take advantage of the multitude of available data sets and analysis methods, it is desirable to combine both different algorithms and data from different studies. Applying ensemble learning, consensus clustering and cross-study normalization methods for this purpose in an almost fully automated process and linking different analysis modules together under a single interface would simplify many microarray analysis tasks. Results: We present ArrayMining.net, a web-application for microarray analysis that provides easy access to a wide choice of feature selection, clustering, prediction, gene set analysis and cross-study normalization methods. In contrast to other microarray-related web-tools, multiple algorithms and data sets for an analysis task can be combined using ensemble feature selection, ensemble prediction, consensus clustering and cross-platform data integration. By interlinking different analysis tools in a modular fashion, new exploratory routes become available, e.g. ensemble sample classification using features obtained from a gene set analysis and data from multiple studies. The analysis is further simplified by automatic parameter selection mechanisms and linkage to web tools and databases for functional annotation and literature mining. Conclusion: ArrayMining.net is a free web-application for microarray analysis combining a broad choice of algorithms based on ensemble and consensus methods, using automatic parameter selection and integration with annotation databases.