(Q46941409)

English

In silico prediction of toxicity of non-congeneric industrial chemicals using ensemble learning based modeling approaches

scientific article published on 23 January 2014

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scholarly article

1 reference

Europe PubMed Central

PubMed publication ID

26 December 2017

http://europepmc.org/abstract/MED/24463095

In silico prediction of toxicity of non-congeneric industrial chemicals using ensemble learning based modeling approaches (English)

1 reference

Europe PubMed Central

PubMed publication ID

26 December 2017

http://europepmc.org/abstract/MED/24463095

ensemble learning

1 reference

based on heuristic

inferred from title

1 reference

based on heuristic

inferred from title

author name string

Kunwar P Singh

1

1 reference

Europe PubMed Central

PubMed publication ID

26 December 2017

http://europepmc.org/abstract/MED/24463095

Shikha Gupta

2

1 reference

Europe PubMed Central

PubMed publication ID

26 December 2017

http://europepmc.org/abstract/MED/24463095

publication date

23 January 2014

1 reference

Europe PubMed Central

PubMed publication ID

26 December 2017

http://europepmc.org/abstract/MED/24463095

Toxicology and Applied Pharmacology

1 reference

Europe PubMed Central

PubMed publication ID

26 December 2017

http://europepmc.org/abstract/MED/24463095

275

1 reference

Europe PubMed Central

PubMed publication ID

26 December 2017

http://europepmc.org/abstract/MED/24463095

3

1 reference

Europe PubMed Central

PubMed publication ID

26 December 2017

http://europepmc.org/abstract/MED/24463095

198-212

1 reference

Europe PubMed Central

PubMed publication ID

26 December 2017

http://europepmc.org/abstract/MED/24463095

Chemical Similarity Searching

1 reference

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12 September 2021

The Chemistry Development Kit (CDK): an open-source Java library for Chemo- and Bioinformatics

1 reference

https://opencitations.net/index/coci/api/v1/citations/10.1021/CI025584Y

30 October 2021

Best Practices for QSAR Model Development, Validation, and Exploitation

1 reference

https://opencitations.net/index/coci/api/v1/citations/10.1002/MINF.201000061

8 April 2023

Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships. The report and recommendations of ECVAM Workshop 52

1 reference

https://opencitations.net/index/api/v1/citations/10.1177/026119290503300209

18 January 2024

Identifiers

10.1016/J.TAAP.2014.01.006

1 reference

Europe PubMed Central

PubMed publication ID

26 December 2017

http://europepmc.org/abstract/MED/24463095

PubMed publication ID

1 reference

Europe PubMed Central

PubMed publication ID

26 December 2017

http://europepmc.org/abstract/MED/24463095

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