Beware of q2!
By A. Golbraikh, Alexander Tropsha. Journal of Molecular Graphics and Modelling, 2002
3,342 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Materials Chemistry, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/446119ef8ccf2de4ee16ee2bb66250285d6d84fe
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Knut Baumann
- Désirée Baumann
- Amir H. Gandomi
- Alexander Tropsha
- Kunal Roy
- Amir Hossein Alavi
- Paola Gramatica
- Denis Fourches
In Materials Chemistry
- Knut Baumann
- Désirée Baumann
- Paola Gramatica
- Joanna Jaworska
- Alexander Tropsha
- Eugene N. Muratov
- Denis Fourches
- Antony J. Williams
In Molecular Biology
- David Broadhurst
- Douglas B. Kell
- Royston Goodacre
- Knut Baumann
- Désirée Baumann
- Paola Gramatica
- Joanna Jaworska
- Eugene N. Muratov
Citations in the corpus
- The use of 2D fingerprint methods to support the assessment of structural similarity in orphan drug legislation (2014, methodology): “It is generally considered better, however, to use a distinct test-set that has not been involved in the training [30,31], and this was accomplished here using data kindly provided by the CHMP that typifies their regular work-load.”
- Classification-Based Regression Models for Prediction of the Mechanical Properties of Roller-Compacted Concrete Pavement (2020, methodology): “Golbraikh and Tropsha [74] have adopted the new external validation criteria to assess the estimation precision of the models according to the performance of validating data.”
- Energy-based numerical models for assessment of soil liquefaction (2012, background): “Golbraikh and Tropsha (2002) suggested that at least one slope of regression lines (k or k0) through the origin should be close to 1.”
- Proposed minimum reporting standards for data analysis in metabolomics (2007, background): “Such models are known to be extremely overoptimistic, especially for K = 1 (Golbraikh and Tropsha 2002 ).”