An Empirical Bayesian Random Censoring Threshold Model Improves Detection of Differentially Abundant Proteins

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Publication year
2014Source
Journal of Proteome Research, 13, 9, (2014), pp. 3871-3880ISSN
Publication type
Article / Letter to editor

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Organization
Data Science
Journal title
Journal of Proteome Research
Volume
vol. 13
Issue
iss. 9
Page start
p. 3871
Page end
p. 3880
Subject
Data ScienceThis item appears in the following Collection(s)
- Academic publications [227248]
- Electronic publications [108577]
- Faculty of Science [34014]
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