(Q51887767)

English

Multiple linear regression and artificial neural network retention prediction models for ginsenosides on a polyamine-bonded stationary phase in hydrophilic interaction chromatography.

scientific article published in May 2008

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scholarly article

1 reference

Europe PubMed Central

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:18435511%20AND%20SRC:MED&resulttype=core&format=json

6 January 2020

Multiple linear regression and artificial neural network retention prediction models for ginsenosides on a polyamine-bonded stationary phase in hydrophilic interaction chromatography (English)

1 reference

Europe PubMed Central

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:18435511%20AND%20SRC:MED&resulttype=core&format=json

6 January 2020

artificial neural network

1 reference

based on heuristic

inferred from title

linear regression

1 reference

based on heuristic

inferred from title

1

1 reference

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6 January 2020

author name string

Nerissa L Denola

2

1 reference

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6 January 2020

Yoshihiro Saito

3

1 reference

Europe PubMed Central

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6 January 2020

Kiyokatsu Jinno

4

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6 January 2020

publication date

1 May 2008

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6 January 2020

Journal of Separation Science

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6 January 2020

31

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6 January 2020

9

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6 January 2020

1550-1563

1 reference

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6 January 2020

Analysis methods of ginsenosides

1 reference

https://api.crossref.org/works/10.1002%2FJSSC.200800077

21 January 2018

The Problem of Overfitting

1 reference

https://opencitations.net/index/coci/api/v1/citations/10.1021/CI0342472

12 September 2021

Identifiers

10.1002/JSSC.200800077

1 reference

Europe PubMed Central

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:18435511%20AND%20SRC:MED&resulttype=core&format=json

6 January 2020

1 reference

Europe PubMed Central

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:18435511%20AND%20SRC:MED&resulttype=core&format=json

6 January 2020

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