(Q47315733)

English

A novel method for apoptosis protein subcellular localization prediction combining encoding based on grouped weight and support vector machine

scientific article published on 17 October 2006

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scholarly article

1 reference

Europe PubMed Central

PubMed publication ID

13 January 2018

http://europepmc.org/abstract/MED/17069811

A novel method for apoptosis protein subcellular localization prediction combining encoding based on grouped weight and support vector machine (English)

1 reference

Europe PubMed Central

PubMed publication ID

13 January 2018

http://europepmc.org/abstract/MED/17069811

support vector machine

1 reference

based on heuristic

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author name string

Zhen-Hui Zhang

1

1 reference

Europe PubMed Central

PubMed publication ID

13 January 2018

http://europepmc.org/abstract/MED/17069811

Zheng-Hua Wang

2

1 reference

Europe PubMed Central

PubMed publication ID

13 January 2018

http://europepmc.org/abstract/MED/17069811

Zhen-Rong Zhang

3

1 reference

Europe PubMed Central

PubMed publication ID

13 January 2018

http://europepmc.org/abstract/MED/17069811

Yong-Xian Wang

4

1 reference

Europe PubMed Central

PubMed publication ID

13 January 2018

http://europepmc.org/abstract/MED/17069811

language of work or name

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publication date

17 October 2006

1 reference

Europe PubMed Central

PubMed publication ID

13 January 2018

http://europepmc.org/abstract/MED/17069811

1 reference

Europe PubMed Central

PubMed publication ID

13 January 2018

http://europepmc.org/abstract/MED/17069811

580

1 reference

Europe PubMed Central

PubMed publication ID

13 January 2018

http://europepmc.org/abstract/MED/17069811

26

1 reference

Europe PubMed Central

PubMed publication ID

13 January 2018

http://europepmc.org/abstract/MED/17069811

6169-6174

1 reference

Europe PubMed Central

PubMed publication ID

13 January 2018

http://europepmc.org/abstract/MED/17069811

A knowledge base for predicting protein localization sites in eukaryotic cells

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

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

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Relation between amino acid composition and cellular location of proteins.

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Using neural networks for prediction of the subcellular location of proteins

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Using discriminant function for prediction of subcellular location of prokaryotic proteins

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Protein subcellular location prediction

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Prediction of protein structural classes and subcellular locations

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Prediction of protein subcellular locations by incorporating quasi-sequence-order effect

1 reference

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21 January 2018

Prediction of protein cellular attributes using pseudo-amino acid composition

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Prediction of the subcellular location of prokaryotic proteins based on a new representation of the amino acid composition.

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Support vector machine approach for protein subcellular localization prediction

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Subcellular location prediction of apoptosis proteins

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Prediction of protein subcellular locations by support vector machines using compositions of amino acids and amino acid pairs

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

A new hybrid approach to predict subcellular localization of proteins by incorporating gene ontology

1 reference

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21 January 2018

Application of pseudo amino acid composition for predicting protein subcellular location: stochastic signal processing approach.

1 reference

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21 January 2018

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

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Prediction of protein subcellular locations by GO-FunD-PseAA predictor

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Predicting 22 protein localizations in budding yeast.

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Predicting subcellular localization of proteins in a hybridization space

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Using complexity measure factor to predict protein subcellular location.

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

An SVM-based system for predicting protein subnuclear localizations

1 reference

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21 January 2018

Support vector machine-based method for subcellular localization of human proteins using amino acid compositions, their order, and similarity search

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Predicting protein subnuclear location with optimized evidence-theoretic K-nearest classifier and pseudo amino acid composition.

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Predicting protein localization in budding yeast

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Using cellular automata images and pseudo amino acid composition to predict protein subcellular location

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Predicting eukaryotic protein subcellular location by fusing optimized evidence-theoretic K-Nearest Neighbor classifiers

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Hum-PLoc: a novel ensemble classifier for predicting human protein subcellular localization

1 reference

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21 January 2018

Programmed cell death in animal development

1 reference

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Programmed cell death: alive and well in the new millennium

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21 January 2018

The SWISS-PROT protein sequence data bank and its supplement TrEMBL

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

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Prediction of Protein Structural Classes

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

PISCES: a protein sequence culling server

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

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

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Prediction and classification of protein subcellular location-sequence-order effect and pseudo amino acid composition

1 reference

https://api.crossref.org/works/10.1016%2FJ.FEBSLET.2006.10.017

21 January 2018

Identifiers

10.1016/J.FEBSLET.2006.10.017

1 reference

Europe PubMed Central

PubMed publication ID

13 January 2018

http://europepmc.org/abstract/MED/17069811

PubMed publication ID

1 reference

Europe PubMed Central

PubMed publication ID

13 January 2018

http://europepmc.org/abstract/MED/17069811

ResearchGate publication ID

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