(Q47680235)

4 February 2018

title

Using AdaBoost for the prediction of subcellular location of prokaryotic and eukaryotic proteins. (English)

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4 February 2018

author

Yudong Cai

5

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4 February 2018

Guo-zheng Li

6

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4 February 2018

author name string

Bing Niu

1

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4 February 2018

Yu-Huan Jin

2

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4 February 2018

Kai-Yan Feng

3

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4 February 2018

Wen-Cong Lu

4

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4 February 2018

publication date

1 February 2008

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4 February 2018

published in

Molecular Diversity

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4 February 2018

volume

12

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4 February 2018

issue

1

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4 February 2018

page(s)

41-45

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4 February 2018

https://scigraph.springernature.com/pub.10.1007/s11030-008-9073-0

exact match

0 references

cites work

Expert system for predicting protein localization sites in gram-negative bacteria

1 reference

Crossref

https://api.crossref.org/works/10.1007%2FS11030-008-9073-0

Relation between amino acid composition and cellular location of proteins.

21 January 2018

1 reference

12 December 2020

Predicting subcellular localization of proteins in a hybridization space

1 reference

12 December 2020

Using neural networks for prediction of subcellular location of prokaryotic and eukaryotic proteins.

1 reference

12 December 2020

Protein subcellular location prediction

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12 December 2020

Nearest neighbour algorithm for predicting protein subcellular location by combining functional domain composition and pseudo-amino acid composition.

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12 December 2020

Predicting 22 protein localizations in budding yeast.

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12 December 2020

Wanted: subcellular localization of proteins based on sequence.

1 reference

12 December 2020

Prediction of protein subcellular locations using Markov chain models

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12 December 2020

Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites

1 reference

12 December 2020

Discrimination of intracellular and extracellular proteins using amino acid composition and residue-pair frequencies.

1 reference

12 December 2020

A knowledge base for predicting protein localization sites in eukaryotic cells

1 reference

12 December 2020

Prediction of membrane protein types and subcellular locations.

1 reference

12 December 2020

Using discriminant function for prediction of subcellular location of prokaryotic proteins.

1 reference

12 December 2020

Multi-class protein fold recognition using support vector machines and neural networks.

1 reference

12 December 2020

Using Functional Domain Composition and Support Vector Machines for Prediction of Protein Subcellular Location

1 reference

12 December 2020

A novel approach to predicting protein structural classes in a (20-1)-D amino acid composition space

1 reference

12 December 2020

Using neural networks for prediction of the subcellular location of proteins

1 reference

12 December 2020

Protein sorting signals and prediction of subcellular localization

1 reference

12 December 2020

10.1007/S11030-008-9073-0

Identifiers

DOI

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4 February 2018

PubMed ID

18506593

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4 February 2018