A hierarchical statistical modeling approach to analyze proteomic isobaric tag for relative and absolute quantitation data.

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	549-558
Journal	Bioinformatics
DOIs	https://doi.org/10.1093/bioinformatics/btt722
Publication status	Published - 15 Dec 2014
Externally published	Yes

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title = "A hierarchical statistical modeling approach to analyze proteomic isobaric tag for relative and absolute quantitation data.",

author = "Zhou C and Walker MJ and Williamson AJ and Pierce A and Berzuini C and Dive C and Whetton AD",

year = "2014",

month = dec,

day = "15",

doi = "10.1093/bioinformatics/btt722",

language = "English",

pages = "549--558",

journal = "Bioinformatics",

issn = "1460-2059",

publisher = "Oxford University Press",

}

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T1 - A hierarchical statistical modeling approach to analyze proteomic isobaric tag for relative and absolute quantitation data.

AU - C, Zhou

AU - MJ, Walker

AU - AJ, Williamson

AU - A, Pierce

AU - C, Berzuini

AU - C, Dive

AU - AD, Whetton

PY - 2014/12/15

Y1 - 2014/12/15

U2 - 10.1093/bioinformatics/btt722

DO - 10.1093/bioinformatics/btt722

M3 - Article

SN - 1460-2059

SP - 549

EP - 558

JO - Bioinformatics

JF - Bioinformatics

ER -