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EurekAlert
NYU scientists develop more accurate mathematical method to
analyze genetic data
""In spite of the fact that mathematics has been around for thousands of years, it is extremely new to biology, and our research in this area has focused on how best to leverage quantitative thinking in order to improve biological research," said Mishra. "This is not about data mining, or computation dealing with large amounts of data; it's about developing a better, more intelligent way of looking at things."
The current standard method used in the analysis of microarray data, pioneered by Eisen et al., is predicated on an arbitrary formulation. Mishra's team's algorithm replaces this method with a mathematically rigorous correlation coefficient of two gene expression vectors, based on James-Stein shrinkage estimators. Its research shows that the new algorithm corrects for many kinds of errors."
[ rhetoric ]
“Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.”
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