作者: R. Keira Curtis , Martin D. Brand
关键词: Transcriptome 、 Proteome 、 Gene expression 、 DNA microarray 、 Microarray analysis techniques 、 Microarray 、 Gene expression profiling 、 Genetics 、 Biology 、 Metabolome
摘要: DNA microarrays produce large amounts of data. Complex changes in gene expression are revealed; sometimes thousands mRNAs change between experiments. Here we apply modular regulation analysis to microarray data reveal and quantify the mRNA that important for cellular responses. The sorted into clusters. How strongly a perturbation alters each cluster is multiplied by how affects an output, obtain coefficients describe much output transmitted through cluster. An example published dataset analysed response ('relative fitness') yeast 2-deoxy-D-glucose not single cluster, but instead many clusters contribute overall response. method applicable microarray, transcriptome, proteome metabolome