"A hierarchical statistical modeling approach to analyze proteomic isobaric ..."

Cong Zhou et al. (2014)

> Home

Details and statistics

DOI: 10.1093/BIOINFORMATICS/BTT722

access: closed

type: Journal Article

metadata version: 2025-03-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/bioinformatics/ZhouWWPBDW14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bioinformatics/ZhouWWPBDW14
Cong Zhou, Michael J. Walker, Andrew J. K. Williamson, Andrew Pierce, Carlo Berzuini, Caroline Dive, Anthony D. Whetton:
A hierarchical statistical modeling approach to analyze proteomic isobaric tag for relative and absolute quantitation data. Bioinform. 30(4): 549-558 (2014)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.