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DNA Microarrays are powerful tools to analyze and identify certain disease from the expression level of the genes in tissues samples. Many machine learning techniques are suitable for building predictive models to classi...

Though several generations of critics have reported finding English influences in the poetry of Luis Cernuda, no detailed or systematic study of the question has yet been undertaken. This book tackles the issue, concentr...

Screening of relevant factors using Plackett–Burman designs is usual in analytical chemistry. It relies on the assumption that factor interactions are negligible; however, failure of recognizing such interactions may l...

PM10 non-traditional modelling for e-government development is described in detail. Ambient PM10 concentrations were predicted using meteorological variables as inputs, whose relevance for a generated Artificial Neural N...

Hasta Darwin los análisis y explicaciones sobre la estructura física del mundo y de los procesos de la vida se habían desarrollado por vías paralelas. Estas dos tradiciones recién confluyeron en la teoría del orige...

The aim of this study was to investigate whether season, lactation number, breed standard and milk production were risk factors relating to occurrences of gastrointestinal nematodes in dairy cows during the peripartum pe...

Social deficits remain one of the most difficult areas for individuals with autism spectrum disorders (‘ASD’), especially for those with average or above average cognitive skills. An intervention often used to treat ...

Collinearity refers to the non independence of predictor variables, usually in a regression‐type analysis. It is a common feature of any descriptive ecological data set and can be a problem for parameter estimation bec...

Background: The criteria for choosing relevant cell lines among a vast panel of available intestinal-derived lines exhibiting a wide range of functional properties are still ill-defined. The objective of this study was, ...