The Community for Technology Leaders
2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2013)
Shanghai, China
Dec. 18, 2013 to Dec. 21, 2013
ISBN: 978-1-4799-1309-1
pp: 99-102
Zijing Mao , Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX 78249-0669, USA
Tim H-M Huang , Department of Molecular Medicine, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
Yidong Chen , Department of Epidemiology and Biostatistics, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
Yufei Huang , Department of Electrical and Computer Engineering, University of Texas at San Antonio, San Antonio, TX 78249-0669, USA
ABSTRACT
Methyl-CpG binding domain-based capture followed by sequencing (MBDCap-seq) is a cost-effective method for genome-wide methylation analyses especially in CpG-rich regions. In this study, we developed BIMMER, a BI-layer hidden Markov model for differential Methylation Regions (DMRs) identification BIMMER using MBDCap-seq samples derived from two different phenotypes. BIMMER models and generates a posterior probability for a 100bp bin to be a methylation site in either normal or disease samples by its first hidden layer, and then integrate these posterior probabilities in the second hidden layer to obtain the posterior probability of bin-specific differential methylation between the normal and disease samples. Based on these posterior probabilities, the decisions on the methylation and differential statuses for each bin can be calculated. Simulated results showed 94.3% area under precision-recall curve for BIMMER (BIMMER is programmed in Java and available by request).
INDEX TERMS
Hidden Markov models, Bioinformatics, Diseases, Genomics, DNA, Breast cancer
CITATION

Z. Mao, T. H. Huang, Y. Chen and Y. Huang, "BIMMER: A Bi-layer hidden Markov model for differential methylation analysis," 2013 IEEE International Conference on Bioinformatics and Biomedicine(BIBM), Shanghai, China China, 2013, pp. 99-102.
doi:10.1109/BIBM.2013.6732470
94 ms
(Ver 3.3 (11022016))