Gene Regulatory Network Inference using PLS-based Methods | |
Shun Guo; Qingshan Jiang; Lifei Chen; Donghui Guo | |
刊名 | BMC BIOINFORMATICS
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2016 | |
文献子类 | 期刊论文 |
英文摘要 | Background: Inferring the topology of gene regulatory networks (GRNs) from microarray gene expression data has many potential applications, such as identifying candidate drug targets and providing valuable insights into the biological processes. It remains a challenge due to the fact that the data is noisy and high dimensional, and there exists a large number of potential interactions. Results: We introduce an ensemble gene regulatory network inference method PLSNET, which decomposes the GRN inference problem with p genes into p subproblems and solves each of the subproblems by using Partial least squares (PLS) based feature selection algorithm. Then, a statistical technique is used to refine the predictions in our method. The proposed method was evaluated on the DREAM4 and DREAM5 benchmark datasets and achieved higher accuracy than the winners of those competitions and other state-of-the-art GRN inference methods. Conclusions: Superior accuracy achieved on different benchmark datasets, including both in silico and in vivo networks, shows that PLSNET reaches state-of-the-art performance. Keywords: Gene Regulatory Network inference, Gene expression data, Partial least squares (PLS), Ensemble |
URL标识 | 查看原文 |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/12563] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | BMC BIOINFORMATICS |
推荐引用方式 GB/T 7714 | Shun Guo,Qingshan Jiang,Lifei Chen,et al. Gene Regulatory Network Inference using PLS-based Methods[J]. BMC BIOINFORMATICS,2016. |
APA | Shun Guo,Qingshan Jiang,Lifei Chen,&Donghui Guo.(2016).Gene Regulatory Network Inference using PLS-based Methods.BMC BIOINFORMATICS. |
MLA | Shun Guo,et al."Gene Regulatory Network Inference using PLS-based Methods".BMC BIOINFORMATICS (2016). |
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