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Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions
We introduce new statistical methods for analyzing genomic datasets that measure many effects in many conditions (e.g., gene expression changes under many treatments). These new methods improve on existing methods by allowing for arbitrary correlations in effect sizes among conditions. This flexible...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6309609/ https://www.ncbi.nlm.nih.gov/pubmed/30478440 http://dx.doi.org/10.1038/s41588-018-0268-8 |