果蝇基因组中预测调控区域的统计肥尾检验
A statistical fat-tail test of predicting regulatory regions in the Drosophila genome
AI总结：
本研究针对果蝇基因组提出一种基于峰度的统计肥尾检验方法，通过两个肥度系数有效区分顺式调控模块与非调控模块，兼顾计算效率与分离准确度。
摘要：
本文提出了一项基于相似词集分布估计的顺式调控模块（CRMs）统计研究。观察到CRMs倾向于具有肥尾分布。提出了一种新的统计肥尾检验，包含两个基于峰度的肥度系数，以区分CRMs与非CRMs。与现有的fluffy-tail检验相比，第一个肥度系数旨在减少计算时间，使这种新型肥尾检验非常适合后基因组时代的长序列和大型数据库分析，第二个系数旨在提高CRMs与非CRMs之间的分离准确度。这两个肥度系数可作为有价值的过滤指标用于实验预测CRMs。
英文摘要：
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 be served as valuable filtering indexes to predict CRMs experimentally.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
