Sources of Error in High-Throughput Biological Experiments

1 SOURCES OF ERROR IN HIGH-THROUGHPUT BIOLOGICAL EXPERIMENTS  

Statistical Bioinformatics A Guide for Life and Biomedical Science Researchers. Edited by Jae K. Lee Copyright 2010 Wiley-Blackwell 

Therefore, it is important to understand and attempt to minimize potential sources of error in measurement as the experiment is conducted, but it is often impossible to completely eliminate such errors. Mathematical techniques that allow more meaningful direct comparisons of gene or protein expression levels thus become highly important for correct interpretation of high-throughput biological data. 

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