Experimental Design and Analysis of Microarray Data

摘要: The advent of microarray technology has significantly changed the way we can quantitatively measure and observe gene expression at mRNA level within a given biological sample interest, allowing for monitoring tens to hundreds thousands genes single experiment. two main array platforms are spotted two-colour arrays one-colour in situ-synthesized arrays. Microarrays used wide range applications including annotation, investigation gene-gene interactions, elucidation regulatory networks gene-expression profiling Saccharomyces cerevisiae other fungal organisms. Academic researchers both pharmaceutical agricultural industries have an enormous interest developing microarrays as diagnostic tools use basic research into how pathogens, such fungi, interact with their host. Microarray experiments generate vast quantities raw data, therefore good experimental design statistical analysis is required extraction accurate useful information regarding genes. In this review firstly provide overview arrival development technology. We then focus on issues surrounding processing images, followed by discussion methods cleaning normalizing data final importance plays identifying differentially expressed