Investigators have two important questions to consider when evaluating microarray expression data. First, they must ask whether the results are valid—in other words, accurate—for the particular ...

The impact of microarray technology on biology will depend on computational methods of data analysis. A supervised computer-learning method using support vector machines predicts gene function from ...

Consider the ranking of genes using data from replicated microarray time course experiments, where there are multiple biological conditions, and the genes of interest are those whose temporal profiles ...

As a graduate student, Eric Olson learned something about DNA microarrays: Biochip data management can be vexing. His graduate adviser abandoned a number of microarray experiments because it was too ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

Serial analysis of gene expression (SAGE) uses mRNA from a sample to create complementary DNA (cDNA) fragments for amplification and sequencing using high-throughput sequencing technology. Credit: ...

We analyze data collected in a somatic embryogenesis experiment carried out on Zea mays at Iowa State University. The main objective of the study was to identify the set of genes in maize that ...