Hierarchical Bayes models for cDNA microarray gene expression

Hierarchical Bayes models for cDNA microarray gene expression.

cDNA microarrays are used in many contexts to compare mRNA levels between samples of cells. Microarray experiments typically give us expression measurements on 1000-20 000 genes, but with few replicates for each gene. Traditional methods using means and standard deviations to detect differential expression are not satisfactory in this context. A handful of alternative statistics have been devel...

cDNA Microarray Data Normalization

cDNA MICROARRAY TECHNOLOGY FOR THE ANALYSIS OF GENE EXPRESSION

DNA microarray technology is a new and powerful tool for studying a genome-wide gene expression in many organisms. This technology is a high throughput, highly parallel RNA expression assay technique that permits quantitative analysis of RNAs transcribed from both known and unknown genes. This review describes array manufacturing, experimental design, and its application to gene discovery and e...

Optimal Design of Single Factor cDNA Microarray Experiments and Mixed Models for Gene Expression Data

(ABSTRACT) Microarray experiments are used to perform gene expression profiling on a large scale. E-and A-optimality of mixed design was established for experiments with up to 26 different varieties and with the restriction that the number of arrays available is equal to the number of varieties. Because the IBD setting only allows for a single blocking factor (arrays), the search for optimal de...

Assessment of gene expression profile by cDNA microarray analysis.

With the advent of cDNA microarray technology, variations in cellular transcriptional events can now be monitored simultaneously, and expression profile at each functional state can be established and compared to one another. Here we illustrate gene expression profile analysis of a cisplatin-resistant ovarian carcinoma cell line (A2780CP)and its parental A2780 cell line, and compare them to ass...