This chapter presents an overview on the classes of methods available for feature selection, paying special attention to the problems typical to microarray data processing, where the number of measured genes (factors) is extremely large, in the order of thousands, and the number of relevant factors is much smaller. The main ingredients needed in the selection of an optimal feature set consist i...

This document demonstrates how to use the GeneSelectMMD package to detect significant genes and to estimate false discovery rate (FDR), false non-discovery rate (FNDR), false positive rate (FPR), and false negative rate (FNR), for a real microarray data set based on the method proposed by Qiu et al. (2008). It also illustrates how to visualize the fit of the model proposed in Qiu et al. (2008) ...

The myogenic factors (MYF) 5 gene has been reported to contribute to muscle growth and development, therefore they are considered as candidate genes for growth and meat quality related traits. The MYF5 gene is expressed during proliferation of myoblasts and comprises 3 exons. To ascertain whether there is any variation in the camel MYF5 gene, we have used a polymerase chain reaction-single stra...

Recent results from a variety of different kinds of experiments, mainly using behavior as an assay, and ranging from laboratory selection experiments to gene interaction studies, show that a much wider range of genes can affect phenotype than those identified as "core genes" in classical mutant screens. Moreover, very pleiotropic genes can produce specific phenotypes when mild variants are comb...