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基于递归特征消除和随机森林融合算法的大豆前体MicroRNA预测模型研究 被引量:7
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作者 安宇 陈桂芬 李静 《大豆科学》 CAS CSCD 北大核心 2020年第3期401-405,共5页
随着大豆RNA基因的生物调控作用研究的不断深入,利用数据挖掘技术对大豆前体MicroRNA(pre-microRNA)进行有效的预测已成为该领域的重要发展方向。针对常规的随机森林算法在pre-microRNA预测模型中存在识别精度较低的问题,研究提出并构... 随着大豆RNA基因的生物调控作用研究的不断深入,利用数据挖掘技术对大豆前体MicroRNA(pre-microRNA)进行有效的预测已成为该领域的重要发展方向。针对常规的随机森林算法在pre-microRNA预测模型中存在识别精度较低的问题,研究提出并构建基于递归特征消除(recursive feature elimination, RFE)与随机森林(random forest, RF)融合算法的大豆pre-microRNA预测模型。首先利用递归特征消除法筛选大豆pre-microRNA序列的最优特征子集;然后结合随机森林算法构建大豆pre-microRNA的预测模型;最后利用十折交叉验证法,将递归特征消除与随机森林(RFE-RF)融合模型的预测结果与单一随机森林和支持向量机分类模型的预测结果对比。研究结果表明:融合后构建的大豆pre-microRNA预测模型精度有明显提高,达到84.62%,相比于支持向量机算法(support vector machine, SVM)构建的模型精度提高了17.02%,相比于单独使用随机森林算法构建的模型精度提高了14.58%。该研究方法为大豆的pre-microRNA基因预测提供了新思路。 展开更多
关键词 大豆 pre-microrna 递归特征消除 随机森林 预测模型
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Identification,bioinformatic analysis and expression profiling of candidate mRNA-like non-coding RNAs in Sus scrofa 被引量:7
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作者 Bang Xiao Xingju Zhang +6 位作者 Yong Li Zhonglin Tang Shulin Yang Yulian Mu Wentao Cui Hong Ao Kui Li 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2009年第12期695-702,共8页
Messenger RNA-like non-coding RNAs (mlncRNAs) are a newly identified group of non-coding RNAs (ncRNAs) that may be involved in a number of critical cellular events. In this study, 93 candidate porcine mlncRNAs wer... Messenger RNA-like non-coding RNAs (mlncRNAs) are a newly identified group of non-coding RNAs (ncRNAs) that may be involved in a number of critical cellular events. In this study, 93 candidate porcine mlncRNAs were obtained by computational prediction and screening, among which 72 were mapped to the porcine genome. Further analysis of 8 representative candidates revealed that these mlncRNA candidates are not highly conserved among species. Remarkably, one of the candidates, sTF35495, was found to be precursor of a putative porcine microRNA. By RACE PCR, we determined that the full length of sTF35495 was 3 kb. The protein-coding potential of this RNA was tested in silico with no significant finding. Semi-quantitative RT-PCR analysis of the subgroup of 8 candidates revealed two distinct expression profiles and two molecules were further validated by real-time PCR. The predicted pre-microRNA sequence in this study provides a potentially interesting insight into the in vivo function of porcine mlncRNAs and our findings suggest that they play key biological roles in Sus scrofa. 展开更多
关键词 putative porcine mlncRNA chromosome localization interspecies conservation pre-microrna RACE expression profiling qPCR
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