Assessment of differential gene expression in human peripheral nerve injury |
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| Authors: | Xiao Yuanyuan Segal Mark R Rabert Douglas Ahn Andrew H Anand Praveen Sangameswaran Lakshmi Hu Donglei Hunt C Anthony |
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| Institution: | (1) Department of Biopharmaceutical Sciences, University of California, San Francisco, 94143 San Francisco, CA, USA;(2) Department of Epidemiology and Biostatistics, University of California, San Francisco, 94143 San Francisco, CA, USA;(3) Neurobiology Unit, Roche Bioscience, 94304 Palo Alto, CA, USA;(4) Department of Anatomy and Neurology, University of California, San Francisco, 94143 San Francisco, CA, USA;(5) Peripheral Neuropathy Unit, Division of Neuroscience and Psychological Medicine, Imperial College of Science, Technology and Medicine, Hammersmith Hospital, W12 ONN, London, UK;(6) Pherin Pharmaceuticals, 94043 Mountain View, CA, USA |
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| Abstract: | Background Microarray technology is a powerful methodology for identifying differentially expressed genes. However, when thousands of genes in a microarray data set are evaluated simultaneously by fold changes and significance tests, the probability of detecting false positives rises sharply. In this first microarray study of brachial plexus injury, we applied and compared the performance of two recently proposed algorithms for tackling this multiple testing problem, Significance Analysis of Microarrays (SAM) and Westfall and Young step down adjusted p values, as well as t-statistics and Welch statistics, in specifying differential gene expression under different biological States. |
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