(Q38500179)

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Multi-kernel transfer learning based on Chou's PseAAC formulation for protein submitochondria localization

scientific article published on 21 October 2011

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22037046

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3 September 2017

title

Multi-kernel transfer learning based on Chou's PseAAC formulation for protein submitochondria localization (English)

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Europe PubMed Central

PubMed publication ID

3 September 2017

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Suyu Mei

1

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PubMed publication ID

22037046

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3 September 2017

language of work or name

English

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publication date

21 October 2011

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22037046

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3 September 2017

number of pages

10

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Journal of Theoretical Biology

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22037046

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3 September 2017

volume

293

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22037046

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3 September 2017

page(s)

121-130

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Europe PubMed Central

PubMed publication ID

22037046

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3 September 2017

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cites work

Using the concept of Chou's pseudo amino acid composition to predict enzyme family classes: an approach with support vector machine based on discrete wavelet transform

1 reference

5 June 2022

https://opencitations.net/index/coci/api/v1/citations/10.2174/092986610791190372

Predicting protein folding rates using the concept of Chou's pseudo amino acid composition

1 reference

12 January 2024

https://opencitations.net/index/api/v1/citations/10.1002/JCC.21740

Identifiers

DOI

10.1016/J.JTBI.2011.10.015

1 reference

stated in

Europe PubMed Central

PubMed publication ID

22037046

retrieved

3 September 2017

PubMed publication ID

22037046

1 reference

stated in

Europe PubMed Central

PubMed publication ID

22037046

retrieved

3 September 2017

zbMATH Open document ID

1307.92085

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(Q38500179)

Multi-kernel transfer learning based on Chou's PseAAC formulation for protein submitochondria localization

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