"HiTIME: An efficient model-selection approach for the detection of unknown ..."

Michael G. Leeming et al. (2020)

> Home

Details and statistics

DOI: 10.1016/J.SOFTX.2020.100559

access: open

type: Journal Article

metadata version: 2025-03-03

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/softx/LeemingIZODP20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/softx/LeemingIZODP20
Michael G. Leeming, Andrew Paul Isaac, Luke Zappia, Richard A. J. O'hair, William A. Donald, Bernard J. Pope:
HiTIME: An efficient model-selection approach for the detection of unknown drug metabolites in LC-MS data. SoftwareX 12: 100559 (2020)

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.