Article ID Journal Published Year Pages File Type
1144913 Journal of the Korean Statistical Society 2011 9 Pages PDF
Abstract
Finding significant patterns from sequence data is an important issue in various fields extending well beyond biology. Despite their potential utility, a difficulty in direct application of the recent methods stems from the independence assumption between sites. Markovian assumptions have recently been made for either informative binding sites or non-informative background sites. In this article, it is shown that under certain specifiable conditions, making the independence assumption yields better results in finding binding sites from sequence data with substantial Markovian dependency.
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
Authors
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