sEst: Accurate Sex-Estimation and Abnormality Detection in Methylation Microarray Data
DNA methylation influences predisposition, development and prognosis for many diseases, including cancer. However, it is not uncommon to encounter samples with incorrect sex labelling or atypical sex chromosome arrangement. Sex is one of the strongest influencers of the genomic distribution of DNA m...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-10-01
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| Series: | International Journal of Molecular Sciences |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1422-0067/19/10/3172 |