(Q54376609)

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Activity prediction and identification of mis-annotated chemical compounds using extreme descriptors

scientific article published in February 2016

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Activity prediction and identification of mis-annotated chemical compounds using extreme descriptors (English)

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Denis Fourches

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Alexander Tropsha

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6

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Alexander Tropsha

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Eugene Muratov

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4

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Eugene Muratov

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Petro Borysov

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1

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Jan Hannig

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2

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J. S. Marron

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3

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publication date

February 2016

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Journal of Chemometrics

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volume

30

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3

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page(s)

99-108

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Trust, but verify: on the importance of chemical structure curation in cheminformatics and QSAR modeling research

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Computer-assisted analysis of interlaboratory Ames test variability

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Predicting chemically-induced skin reactions. Part I: QSAR models of skin sensitization and their application to identify potentially hazardous compounds

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Induction of Decision Trees

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Comparison of the predicted and observed secondary structure of T4 phage lysozyme

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R. A. Fisher in the 21st century (Invited paper presented at the 1996 R. A. Fisher Lecture)Comment by D. R. CoxComment by Rob KassComment by Ole E. Barndorff-NielsenComment by D. V. HinkleyComment by D. A. S. FraserComment by A. P. DempsterRejoinder

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13 June 2022

https://opencitations.net/index/coci/api/v1/references/10.1002/CEM.2776

Handbook of Molecular Descriptors

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https://opencitations.net/index/coci/api/v1/references/10.1002/CEM.2776

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10.1002/CEM.2776

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(Q54376609)

Activity prediction and identification of mis-annotated chemical compounds using extreme descriptors

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