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

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...

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Butiran Bibliografi
Pengarang-pengarang Utama: 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
Diterbitkan: Springer International Publishing 2016
Subjek-subjek:
TK Electrical engineering. Electronics Nuclear engineering
TS Manufactures
Capaian Atas Talian:http://link.springer.com/chapter/10.1007/978-3-319-40162-1_45
http://link.springer.com/chapter/10.1007/978-3-319-40162-1_45
http://umpir.ump.edu.my/13918/1/Investigation%20of%20the%20Effects%20of%20Imputation%20Methods%20for%20Gene%20Regulatory%20Networks%20Modelling%20Using%20Dynamic%20Bayesian%20Networks.pdf
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Internet

http://link.springer.com/chapter/10.1007/978-3-319-40162-1_45
http://link.springer.com/chapter/10.1007/978-3-319-40162-1_45
http://umpir.ump.edu.my/13918/1/Investigation%20of%20the%20Effects%20of%20Imputation%20Methods%20for%20Gene%20Regulatory%20Networks%20Modelling%20Using%20Dynamic%20Bayesian%20Networks.pdf

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