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An empirical Bayes approach for multiple tissue eQTL analysis

https://doi.org/10.1093/biostatistics/kxx048
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25/25 checkable references clean · checked 2026-07-25

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

2 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 25 checked references that resolve
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An Empirical Bayesian Approach for Identifying Differential Coexpression in High‐Throughput Experiments
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Common Regulatory Variation Impacts Gene Expression in a Cell Type–Dependent Manner
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Microarrays, Empirical Bayes and the Two-Groups Model
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Empirical Bayes Analysis of a Microarray Experiment
resolves10.1371/journal.pgen.1003486
A Statistical Framework for Joint eQTL Analysis in Multiple Tissues
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resolves10.1007/s00335-005-0189-6
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On Differential Variability of Expression Ratios: Improving Statistical Inference about Gene Expression Changes from Microarray Data
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resolves10.1371/journal.pgen.1002003
The Architecture of Gene Regulatory Variation across Multiple Human Tissues: The MuTHER Study
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New Insights into the Genetic Control of Gene Expression using a Bayesian Multi-tissue Approach
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Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments
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Effectively Identifying eQTLs from Multiple Tissues by Combining Mixed Model and Meta-analytic Approaches
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The 2 references without a DOI — listed, not checked
no DOI — not checkedDistant regulatory effects of genetic variation in multiple human tissues
no DOI — not checkedThe genotype-tissue expression (gtex) pilot analysis: multitissue gene regulation in humans
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