Investigation of the effects of imputation methods for gene regulatory networks modelling using dynamic bayesian networks

• Main Authors: Lim, Sin Yi, Mohamad, Mohd. Saberi, Chai, Lian En, Deris, Safaai, Chan, Weng Howe, Omatu, Sigeru, Corchado, Juan Manuel, Sjaugi, Muhammad Farhan, Zainuddin, Muhammad Mahfuz, Rajamohan, Gopinathaan, Ibrahim, Zuwairie, Md. Yusof, Zulkifli
• Format: Conference or Workshop Item
• Published: SPRINGER NATURE 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/66920/; http://link.springer.com/chapter/10.1007/978-3-319-40162-1_45

DNA microarray technology plays an important role in advancing the analysis of gene expression and gene functions. However, gene expression data often contain missing values, which cause problems as most of the analysis methods of gene expression data require a complete matrix. Several missing value...