Estimation of the applicability domain of kernel-based machine learning models for virtual screening (Q39951742)

15 September 2017

Estimation of the applicability domain of kernel-based machine learning models for virtual screening (English)

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15 September 2017

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3

Georg Hinselmann

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15 September 2017

4

Andreas Zell

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15 September 2017

Nikolas Fechner

1

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15 September 2017

Andreas Jahn

series ordinal

2

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15 September 2017

language of work or name

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11 March 2010

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Journal of Cheminformatics

15 September 2017

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15 September 2017

2

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15 September 2017

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15 September 2017

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Creative Commons Attribution 2.0 Generic

15 September 2017

start time

11 March 2010

1 reference

April 2022 Public Data File from Crossref

copyright status

copyrighted

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April 2022 Public Data File from Crossref

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Virtual screening for PPAR-gamma ligands using the ISOAK molecular graph kernel and gaussian processes

2 January 2022

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Description of several chemical structure file formats used by computer programs developed at Molecular Design Limited

2 January 2022

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A training algorithm for optimal margin classifiers

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25 March 2023

Identifiers

DOI

10.1186/1758-2946-2-2

1 reference

journals/jcheminf/FechnerJHZ10

15 September 2017

1 reference

DBLP Dataset 2021-01-02

Dimensions Publication ID

28 January 2021

1 reference

9 September 2019

https://scigraph.springernature.com/pub.10.1186/1758-2946-2-2

1 reference

15 September 2017

PubMed publication ID

20222949

1 reference