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contentType Journal Article|Research Support, N.I.H., Extramural
issn 1471-2105
issueIdentifier 1
pageRange 433-
publicationName BMC Bioinformatics
startingPage 433
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bibliographicCitation Li F, Seillier-Moiseiwitsch F. Analyzing 2D gel images using a two-component empirical Bayes model. BMC Bioinformatics. 2011 Nov 08;12():433. PMID: 22067142; PMCID: PMC3300069.
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date 2011-11-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
identifier https://pubmed.ncbi.nlm.nih.gov/PMC3300069
https://pubmed.ncbi.nlm.nih.gov/22067142
https://doi.org/10.1186/1471-2105-12-433
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http://rdf.ncbi.nlm.nih.gov/pubchem/journal/21854
language English
source https://www.crossref.org/
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https://pubmed.ncbi.nlm.nih.gov/
title Analyzing 2D gel images using a two-component empirical bayes model
discusses http://id.nlm.nih.gov/mesh/M0328053
http://id.nlm.nih.gov/mesh/M0014836

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Total number of triples: 26.