Variable selection and regression analysis for graph-structured covariates with an application to genomics
Variable selection and regression analysis for graph-structured covariates with an application to genomics
Graphs and networks are common ways of depicting biological information. In biology, many different biological processes are represented by graphs, such as regulatory networks, metabolic pathways and protein--protein interaction networks. This kind of a priori use of graphs is a useful supplement to the standard numerical data such as microarray …