Predicting transcriptional regulatory interactions with artificial neural networks applied to E. coli multidrug resistance efflux pumps (Q33345033)

26 July 2017

title

Predicting transcriptional regulatory interactions with artificial neural networks applied to E. coli multidrug resistance efflux pumps (English)

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26 July 2017

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multiple drug resistance

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artificial neural network

inferred from title

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author

Ana Tereza R Vasconcelos

object named as

Ana Tereza R Vasconcelos

series ordinal

4

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https://orcid.org/0000-0002-4632-2086

Diogo F T Veiga

object named as

Diogo F T Veiga

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1

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Marisa Fabiana Nicolás

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3

object named as

Marisa F Nicolás

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26 July 2017

Fábio F R Vicente

2

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26 July 2017

publication date

19 June 2008

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26 July 2017

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26 July 2017

volume

8

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26 July 2017

page(s)

101

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describes a project that uses

26 July 2017

artificial neural network

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The Universal Protein Resource (UniProt).

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cites work

1 reference

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21 June 2018

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21 June 2018

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21 June 2018

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PubMed

https://pubmed.ncbi.nlm.nih.gov/18565227

12 December 2020

inferred from PubMed ID database lookup

Mechanisms of antimicrobial resistance in bacteria

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PubMed

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12 December 2020

inferred from PubMed ID database lookup

Identifiers

DOI

10.1186/1471-2180-8-101

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Dimensions Publication ID

26 July 2017

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26 July 2017

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