Investigation of the Effects of Imputation Methods for Gene Regulatory Networks Modelling Using Dynamic Bayesian Networks

• Main Authors: Sin, Yi Lim, Mohd Saberi, Mohamad, Lian, En Chai, Safaai, Deris, Weng, Howe Chan, Sigeru, Omatu, Muhammad Farhan, Sjaugi, Muhammad Mahfuz, Zainuddin, Gopinathaan, Rajamohan, Zuwairie, Ibrahim, Zulkifli, Md. Yusof
• Format: Book Section
• Language: English
• Published: Springer International Publishing 2016
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/13918/1/Investigation%20of%20the%20Effects%20of%20Imputation%20Methods%20for%20Gene%20Regulatory%20Networks%20Modelling%20Using%20Dynamic%20Bayesian%20Networks.pdf; http://umpir.ump.edu.my/id/eprint/13918/; 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...