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BMCBI
2010

Comparative study of discretization methods of microarray data for inferring transcriptional regulatory networks

8 years 10 months ago
Comparative study of discretization methods of microarray data for inferring transcriptional regulatory networks
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are used to discretize microarray data. Selection of the discretization method is often arbitrary and no systematic comparison of different discretization has been conducted, in the context of gene regulatory network inference from time series gene expression data. Results: In this study, we propose a new discretization method "bikmeans", and compare its performance with four other widely-used discretization methods using different datasets, modeling algorithms and number of intervals. Sensitivities, specificities and total accuracies were calculated and statistical analysis was carried out. Bikmeans method always gave high total accuracies. Conclusions: Our results indicate that proper discretization methods can consistently improve gene regulatory network inference independent of network modeling algori...
Yong Li, Lili Liu, Xi Bai, Hua Cai, Wei Ji, Dianji
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2010
Where BMCBI
Authors Yong Li, Lili Liu, Xi Bai, Hua Cai, Wei Ji, Dianjing Guo, Yanming Zhu
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