Analysis of gene expression in pathophysiological states: balancing false discovery and false negative rates.

ABSTRACT: Nucleotide-microarray technology, which allows the simultaneous measurement of the expression of tens of thousands of genes, has become an important tool in the study of disease. In disorders such as malignancy, gene expression often undergoes broad changes of sizable magnitude, whereas in many common multifactorial diseases, such as diabetes, obesity, and atherosclerosis, the changes in gene expression are modest. In the latter circumstance, it is therefore challenging to distinguish the truly changing from non-changing genes, especially because statistical significance must be considered in the context of multiple hypothesis testing. Here, we present a balanced probability analysis (BPA), which provides the biologist with an approach to interpret results in the context of the total numbe

SUBMITTER: Norris AW 

PROVIDER: S-EPMC1334678 | biostudies-literature | 2006 Jan

REPOSITORIES: biostudies-literature