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

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

Iaith wreiddiol	Saesneg
Tudalennau (o-i)	549-558
Cyfnodolyn	Bioinformatics
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1093/bioinformatics/btt722
Statws	Cyhoeddwyd - 15 Rhag 2014
Cyhoeddwyd yn allanol	Ie

Mynediad at Ddogfen

@article{3dbe62bab69e4bf8b19792572d8edb6b,

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",

}

TY - JOUR

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 -