Publication: Statistical methods for detecting differentially methylated loci and regions
Statistical methods for detecting differentially methylated loci and regions
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Robinson, M. D., Kahraman, A., Law, C. W., Lindsay, H., Nowicka, M., Weber, L. M., & Zhou, X. (2014). Statistical methods for detecting differentially methylated loci and regions. Frontiers in Genetics, 5:324. https://doi.org/10.3389/fgene.2014.00324
Abstract
Abstract
Abstract
DNA methylation, the reversible addition of methyl groups at CpG dinucleotides, represents an important regulatory layer associated with gene expression. Changed methylation status has been noted across diverse pathological states, including cancer. The rapid development and uptake of microarrays and large scale DNA sequencing has prompted an explosion of data analytic methods for processing and discovering changes in DNA methylation across varied data types. In this mini-review, we present a compact and accessible discussion of many
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- Kahraman, Abdullah
- Law, Charity W
- Lindsay, Helen
- Nowicka, Malgorzata
- Weber, Lukas M
- Zhou, Xiaobei
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Citations
Robinson, M. D., Kahraman, A., Law, C. W., Lindsay, H., Nowicka, M., Weber, L. M., & Zhou, X. (2014). Statistical methods for detecting differentially methylated loci and regions. Frontiers in Genetics, 5:324. https://doi.org/10.3389/fgene.2014.00324
