Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/97357
Title: A statistical fat-tail test of predicting regulatory regions in the Drosophila genome
Authors: Shu, Jian Jun
Li, Yajing
Issue Date: 2012
Source: Shu, J. J.,& Li, Y. (2012). A statistical fat-tail test of predicting regulatory regions in the Drosophila genome. Computers in Biology and Medicine, 42(9), 935-941.
Series/Report no.: Computers in biology and medicine
Abstract: A statistical study of cis-regulatory modules (CRMs) is presented based on the estimation of similar-word set distribution. It is observed that CRMs tend to have a fat-tail distribution. A new statistical fat-tail test with two kurtosis-based fatness coefficients is proposed to distinguish CRMs from non-CRMs. As compared with the existing fluffy-tail test, the first fatness coefficient is designed to reduce computational time, making the novel fat-tail test very suitable for long sequences and large database analysis in the post-genome time and the second one to improve separation accuracy between CRMs and non-CRMs. These two fatness coefficients may serve as valuable filtering indexes to predict CRMs experimentally.
URI: https://hdl.handle.net/10356/97357
http://hdl.handle.net/10220/13129
ISSN: 0010-4825
DOI: 10.1016/j.compbiomed.2012.07.007
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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