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MetaNorm: Incorporating Meta-analytic Priors into Normalization of NanoString nCounter Data

2023-11-21

Abstract excerpt

Non-informative or diffuse prior distributions are widely employed in Bayesian data analysis to maintain objectivity. However, when meaningful prior information exists and can be identified, using an informative prior distribution to accurately reflect current knowledge may lead to superior outcomes and great efficiency. We propose MetaNorm, a Bayesian algorithm for normalizing NanoString nCounter gene expression...

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Literature Corpus work
e0494980-093f-5ead-8640-7d7e8473a1fd
DOI
10.1101/2023.11.17.567577
Open publication

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MetaNorm: Incorporating Meta-analytic Priors into Normalization of NanoString nCounter DataDOI 10.1101/2023.11.17.567577
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