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Robinson, McCarthy and Smyth: edgeR for digital expression data

Contribution grade

Bioinformatics · Count-data differential expression

Reference score115,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Replicated digital-expression counts could be analyzed in an accessible negative-binomial framework.

Scientific scope

2009 three-author application note and then-current edgeR; later GLM/quasi-likelihood updates and biological discoveries excluded.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is the exact three-author 2009 applications note and the package methods described there. Earlier component statistics, later generalized-linear and quasi-likelihood extensions, other packages and biological discoveries remain separate.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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