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Fuzzy-adaptive-thresholding-based exon prediction.

机译:基于模糊自适应阈值的外显子预测。

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摘要

Thresholding is always critical and decisive in many bioinformatics problems. In this paper, we propose and apply a fuzzy-logic-based adaptive thresholding approach to a well-known solution for the exon prediction problem, which uses a threshold on the frequency component at f = 1/3 in the nucleotide sequence. The proposed approach allows the thresholds to vary along the data set based on the local statistical properties. Experiments and results on the nucleotide data of Saccharomyces cerevisiae (Bakers yeast) illustrate the advantage of our approach. A user-friendly GUI in MATLAB is freely available for academic use at www.cs.iastate.edu/ ankitag/FATBEP.html.
机译:在许多生物信息学问题中,阈值始终是关键和决定性的。在本文中,我们提出了一种基于模糊逻辑的自适应阈值化方法,并将其应用于外显子预测问题的众所周知的解决方案,该方法对核苷酸序列中f = 1/3处的频率分量使用阈值。所提出的方法允许阈值基于局部统计属性沿数据集变化。啤酒酵母(贝克酵母)核苷酸数据的实验和结果说明了我们方法的优势。可在www.cs.iastate.edu/ankitag/FATBEP.html上免费使用MATLAB中的用户友好GUI进行学术使用。

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