"A new statistic for identifying batch effects in high-throughput genomic ..."

Sarah E. Reese et al. (2013)

> Home

Details and statistics

DOI: 10.1093/BIOINFORMATICS/BTT480

access: closed

type: Journal Article

metadata version: 2020-03-02

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/bioinformatics/ReeseATAVAKE13
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bioinformatics/ReeseATAVAKE13
Sarah E. Reese, Kellie J. Archer, Terry M. Therneau, Elizabeth J. Atkinson, Celine M. Vachon, Mariza de Andrade, Jean-Pierre A. Kocher, Jeanette E. Eckel-Passow:
A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis. Bioinform. 29(22): 2877-2883 (2013)

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.