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From Point B to Point A: Applying Toxicogenomics to Biological Inference Kris Freeman Abstract
Integrated toxicogenomics experiments generate enormous amounts of data that require interdisciplinary teams of scientists to interpret. One goal of this interpretation is the identification of cause-and-effect links between data points and exposures, a goal that requires using known information to help characterize new data. For such work to truly progress, there is a need for technologies to detect proteins, transcripts, and metabolites. Researchers must also choose from a variety of statistical methods to analyze the data gathered, and exercise care in normalizing the gene signals in each array so that they can be interpreted accurately.
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