Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies.

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Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies. is …
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scholarly articleQ13442814

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P356DOI10.1021/ACS.JPROTEOME.5B00981
P698PubMed publication ID26906401

P50authorLaurent GattoQ29998944
Myriam FerroQ73189421
Thomas BurgerQ85702976
P2093author name stringChristophe Bruley
Cosmin Lazar
P2860cites workProteomeXchange provides globally coordinated proteomics data submission and disseminationQ29614806
P433issue4
P921main subjectimputationQ1660484
P304page(s)1116-1125
P577publication date2016-03-01
P1433published inJournal of Proteome ResearchQ3186939
P1476titleAccounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies
P478volume15

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