Variable Selection in Regression Mixture Modeling for the Discovery of Gene Regulatory Networks
用于发现基因调控网络的回归混合模型变量选择
The profusion of genomic data through genome sequencing and gene expression microarray technology has facilitated statistical research in determining gene interactions regulating a biological process. Current methods generally consist of a two-stage procedure: clustering gene expression measurements and searching for regulatory “switches,” typically short, conserved sequence patterns (motifs) in the DNA sequence adjacent to the genes. This process often leads to misleading…