Modeling splicing sites with pairwise correlations
Modeling splicing sites with pairwise correlations
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DOI：
10.1093/bioinformatics/18.suppl_2.s27
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发表时间：
2002-10-01
期刊：
影响因子：
5.8
通讯作者：
Asai, K
中科院分区：
文献类型：
--
作者：
Arita, M;Tsuda, K;Asai, K
动机：介绍了一种在序列中发现细微模式的新方法。它近似残差之间的多个相关性与成对相关性，学习成本为O（m（2）n），其中n是训练序列的数量，每个序列的长度为m。该方法适用于人类DNA中的剪接位点，据报道，有高阶dependency.Results的模型：通过计算实验，我们的模型的预测精度被证明是超过以前报道的马尔可夫模型预测的受体位点在人类。
Motivation: A new method for finding subtle patterns in sequences is introduced. It approximates the multiple correlations among residuals with pair-wise correlations, with the learning cost O(m(2)n) where n is the number of training sequences, each of length m. The method suits to model splicing sites in human DNA, which are reported to have higher-order dependencies.Results: By computational experiments, the prediction accuracy of our model was shown to surpass that of previously reported Markov models for the prediction of acceptor sites in human.