"Chemical Topic Modeling: Exploring Molecular Data Sets Using a Common ..."

Nadine Schneider et al. (2017)

> Home

Details and statistics

DOI: 10.1021/ACS.JCIM.7B00249

access: closed

type: Journal Article

metadata version: 2023-08-28

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jcisd/SchneiderFLS17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcisd/SchneiderFLS17
Nadine Schneider, Nikolas Fechner, Gregory A. Landrum, Nikolaus Stiefl:
Chemical Topic Modeling: Exploring Molecular Data Sets Using a Common Text-Mining Approach. J. Chem. Inf. Model. 57(8): 1816-1831 (2017)

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.