"Hit series selection in noisy HTS data: clustering techniques, statistical ..."

Christoph Müller et al. (2014)

> Home

Details and statistics

DOI: 10.1186/1758-2946-6-S1-P27

access: open

type: Journal Article

metadata version: 2018-11-14

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/jcheminf/MullerOFETH14
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcheminf/MullerOFETH14
Christoph Müller, Daniel L. Ormsby, Isabella Feierberg, Ola Engkvist, Christian Tyrchan, Michael J. Hartshorn:
Hit series selection in noisy HTS data: clustering techniques, statistical tests and data visualisations. J. Cheminformatics 6(S-1): 27 (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.