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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6213967/ https://www.ncbi.nlm.nih.gov/pubmed/30326623 http://dx.doi.org/10.3390/ijms19103172 |