Self organising hypothesis networks: a new approach for representing and structuring SAR knowledge.

Hanser, Thierry; Barber, Chris; Rosser, Edward; Vessey, Jonathan D; Webb, Samuel J; Werner, Stéphane

Hanser, Thierry; Barber, Chris; Rosser, Edward; Vessey, Jonathan D; Webb, Samuel J; Werner, Stéphane.

Affiliation

Hanser T; Lhasa Limited, Leeds, UK.
Barber C; Lhasa Limited, Leeds, UK.
Rosser E; Lhasa Limited, Leeds, UK.
Vessey JD; Lhasa Limited, Leeds, UK.
Webb SJ; Lhasa Limited, Leeds, UK.
Werner S; Lhasa Limited, Leeds, UK.

J Cheminform ; 6: 21, 2014.

Article in En | MEDLINE | ID: mdl-24959206

Key words

Confidence metric; Data mining; Hypothesis Network; Interpretable model; Knowledge discovery; Machine learning; QSAR; SAR; SOHN

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Cheminform Year: 2014 Document type: Article Affiliation country: United kingdom Country of publication: United kingdom

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