The purpose of this work is to establish feasibility of cyclosarin exposure detection via microarray data analysis and to evaluate the sensitivity of several detection methods to exposure level.
Cyclosarin Expsosure Detection Via Microarray Data Analysys
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The purpose of this work is to establish feasibility of cyclosarin exposure detection via microarray data analysis and to evaluate the sensitivity of several detection methods to exposure level. First, we test the methods on the Golub leukemia data, and then we apply the methods to multilevel cyclosarin exposure data. Initial results of the investigation suggest that relatively low error rates in detection of a low dose sarin exposure can be obtained using either Bayes classifier, neural networks, or simple class signature matching.