Article

Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions

2016-12-24

Abstract excerpt

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 approach increases power, improves effect estimates, and allows for more quantitative assessments of effect-size het...

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Literature Corpus work: 9110fbc0-9543-54af-a731-d9f70d8e91c4
DOI: 10.1101/096552

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