Published in

American Chemical Society, Journal of Proteome Research, 4(15), p. 1116-1125, 2016

DOI: 10.1021/acs.jproteome.5b00981

Links

Tools

Export citation

Search in Google Scholar

Accounting for the Multiple Natures of Missing Values in Label-Free Quantitative Proteomics Data Sets to Compare Imputation Strategies

Journal article published in 2016 by Cosmin Lazar, Laurent Gatto ORCID, Myriam Ferro, Christophe Bruley, Thomas Bürger
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
  • Must obtain written permission from Editor
  • Must not violate ACS ethical Guidelines
Orange circle
Postprint: archiving restricted
  • Must obtain written permission from Editor
  • Must not violate ACS ethical Guidelines
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO