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

Sin Yi Lim, Mohd Saberi Mohamad, Lian En Chai, Safaai Deris, Weng Howe Chan, Sigeru Omatu, Juan Manuel Corchado, Muhammad Farhan Sjaugi, Muhammad Mahfuz Zainuddin, Gopinathaan Rajamohan, Zuwairie Ibrahim, Zulkifli Md Yusof

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

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 imputation methods have been developed to overcome the problems. In this paper, effects of the missing value imputation methods in modeling of gene regulatory network are investigated. Three missing value imputation methods are used, which are k-Nearest Neighbor (kNN), Iterated Local Least Squares (ILLsimpute), and Fixed Rank Approximation Algorithm (FRAA). Dataset used in this paper is E. coli. The results suggest that the performance of each missing value imputation method is influenced by the percentage and distribution of the missing values in the dataset, which subsequently affect the modeling of gene regulatory network using Dynamic Bayesian network.

Original languageEnglish
Title of host publicationDistributed Computing and Artificial Intelligence, 13th International Conference
EditorsJulián A. García-García, Ali Semalat, Grzegorz Bocewicz, Paweł Sitek, Javier Bajo, Sigeru Omatu, Izabela Nielsen
PublisherSpringer Verlag
Pages413-421
Number of pages9
ISBN (Print)9783319401614
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event13th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2016 - Sevilla, Spain
Duration: Jun 1 2016Jun 3 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume474
ISSN (Print)2194-5357

Conference

Conference13th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2016
Country/TerritorySpain
CitySevilla
Period6/1/166/3/16

Keywords

  • Artificial intelligence
  • Bioinformatics
  • Dynamic bayesian network
  • Gene expression
  • Gene expression data
  • Gene regulatory network
  • Imputation methods
  • Missing values

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

Fingerprint

Dive into the research topics of 'Investigation of the effects of imputation methods for gene regulatory networks modelling using dynamic bayesian networks'. Together they form a unique fingerprint.

Cite this