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This article is part of the supplement: ACM Conference on Bioinformatics, Computational Biology and Biomedicine 2011

Open Access Proceedings

A novel k-mer mixture logistic regression for methylation susceptibility modeling of CpG dinucleotides in human gene promoters

Youngik Yang1, Kenneth Nephew2 and Sun Kim3*

Author Affiliations

1 J Craig Venter Institute, San Diego, CA, USA

2 Medical Sciences Program, Indiana University School of Medicine, Bloomington, IN, USA

3 School of Computer Science and Engineering, Bioinformatics Institute, Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea

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BMC Bioinformatics 2012, 13(Suppl 3):S15  doi:10.1186/1471-2105-13-S3-S15

Published: 21 March 2012

Additional files

Additional file 1:

DNA methylation level variation. A figure in the file shows DNA methylation level variation in an amplicon from 5 cell types.

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Additional file 2:

Competing modeling approaches. Compared to segment modeling, two competing modelings, CpG site-specfic modeling and promoter region modeling were described.

Format: PDF Size: 471KB Download file

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Open Data