基于多软件融合方法的真核生物基因启动子预测

基于多软件融合方法的真核生物基因启动子预测 Eukaryotic Promoter Recognition by Combination of Several Promoter Predictors 马闯 MA Chuang 1 first-author 蹇易 JIAN Yi 1 黄慧艳 HUANG Huiyan 1 华中科技大学生命科学与技术学院/湖北省生物信息与分子成像重点实验室 华中科技大学生命科学与技术学院/湖北省生物信息与分子成像重点实验室 School of Life Science and Technology,Huazhong University of Science and Technology/Hubei Bioinformatics and Molecular Imaging Key Laboratory School of Life Science and Technology,Huazhong University of Science and Technology/Hubei Bioinformatics and Molecular Imaging Key Laboratory 基于多个软件的预测结果,提出了一种融合方法（ComPromoter）提高真核生物基因启动子的预测精度.ComPromoter以ProKey、FirstEF和Eponine等软件对启动子的预测结果为基础,融合了可用于启动子识别的多个特征（包括ProKey预测结果中真阳性和假阳性的出现频率随投票距离以及预测分值变化的统计特征）,并利用支持向量机构建了启动子预测模型.在人类ENCODE区域测试数据集上测试的结果显示,ComPromoter的Pearson相关系数CC值高于所融合的单个启动子预测软件. A new method,named ComPromoter,is proposed to combine several promoter predictors for improving the prediction accuracy of eukaryotic promoter.Based on the outputs of three promoter predictors including ProKey,FirstEF and Eponine,ComPromoter integrated several features,including the relationship between the occurrence frequencies of outputs（including true positives and false positives） of ProKey and the voting distances,and the relationship between the occurrence frequencies of outputs of ProKey and prediction scores.Testing results on the human ENCODE test regions showed that ComPromoter could achieve higher Pearson correlation coefficient（CC） than any combined promoter predictor. 真核生物 启动子预测 支持向量机 eukaryote promoter prediction support vector machine Q75 国家自然科学基金重大研究计划项目（90608020）;科技部国家科技基础条件平台建设专项项目;国家大学生创新实验计划支持项目 2008-06-01 2021-04-01 6 54