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

StandardStandard

A hierarchical statistical modeling approach to analyze proteomic isobaric tag for relative and absolute quantitation data. / C, Zhou; MJ, Walker; AJ, Williamson et al.
Yn: Bioinformatics, 15.12.2014, t. 549-558.

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

HarvardHarvard

C, Z, MJ, W, AJ, W, A, P, C, B, C, D & AD, W 2014, 'A hierarchical statistical modeling approach to analyze proteomic isobaric tag for relative and absolute quantitation data.', Bioinformatics, tt. 549-558. https://doi.org/10.1093/bioinformatics/btt722

APA

C, Z., MJ, W., AJ, W., A, P., C, B., C, D., & AD, W. (2014). A hierarchical statistical modeling approach to analyze proteomic isobaric tag for relative and absolute quantitation data. Bioinformatics, 549-558. https://doi.org/10.1093/bioinformatics/btt722

CBE

C Z, MJ W, AJ W, A P, C B, C D, AD W. 2014. A hierarchical statistical modeling approach to analyze proteomic isobaric tag for relative and absolute quantitation data. Bioinformatics. 549-558. https://doi.org/10.1093/bioinformatics/btt722

MLA

C, Zhou et al. "A hierarchical statistical modeling approach to analyze proteomic isobaric tag for relative and absolute quantitation data.". Bioinformatics. 2014, 549-558. https://doi.org/10.1093/bioinformatics/btt722

VancouverVancouver

C Z, MJ W, AJ W, A P, C B, C D et al. A hierarchical statistical modeling approach to analyze proteomic isobaric tag for relative and absolute quantitation data. Bioinformatics. 2014 Rhag 15;549-558. doi: 10.1093/bioinformatics/btt722

Author

C, Zhou ; MJ, Walker ; AJ, Williamson et al. / A hierarchical statistical modeling approach to analyze proteomic isobaric tag for relative and absolute quantitation data. Yn: Bioinformatics. 2014 ; tt. 549-558.

RIS

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

SP - 549

EP - 558

JO - Bioinformatics

JF - Bioinformatics

SN - 1460-2059

ER -