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A probabilistic multi-omics data matching method for detecting sample errors in integrative analysis
BACKGROUND: Data errors, including sample swapping and mis-labeling, are inevitable in the process of large-scale omics data generation. Data errors need to be identified and corrected before integrative data analyses where different types of data are merged on the basis of the annotated labels. Dat...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615984/ https://www.ncbi.nlm.nih.gov/pubmed/31289834 http://dx.doi.org/10.1093/gigascience/giz080 |