A Model Stacking Framework for Identifying DNA Binding Proteins by Orchestrating Multi-View Features and Classifiers

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A Model Stacking Framework for Identifying DNA Binding Proteins by Orchestrating Multi-View Features and Classifiers

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http://www.wikidata.org/entity/Q58805118

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im August 2018 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована в серпні 2018

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A Model Stacking Framework for ...... -View Features and Classifiers

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A Model Stacking Framework for ...... -View Features and Classifiers

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A Model Stacking Framework for ...... -View Features and Classifiers

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A Model Stacking Framework for ...... -View Features and Classifiers

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A Model Stacking Framework for ...... -View Features and Classifiers

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A Model Stacking Framework for ...... -View Features and Classifiers

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P1476

A Model Stacking Framework for ...... -View Features and Classifiers

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P2093

Hua Yu

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Jia-Hui Xu

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Xiu-Juan Liu

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P2860

Gapped BLAST and PSI-BLAST: a new generation of protein database search programs

An overview of the structures of protein-DNA complexes

Identification of DNA-binding proteins using support vector machines and evolutionary profiles

Protein secondary structure prediction based on position-specific scoring matrices

Highly accurate sequence-based prediction of half-sphere exposures of amino acid residues in proteins

Hierarchical classification of protein folds using a novel ensemble classifier

Proposing a highly accurate protein structural class predictor using segmentation-based features.

nDNA-Prot: identification of DNA-binding proteins based on unbalanced classification.

Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning.

DNA-Prot: identification of DNA binding proteins from protein sequence information using random forest.

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394

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scholarly article

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10.3390/GENES9080394

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English

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Xiu-Jun Gong

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2018-08-01T00:00:00Z

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30071697

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6116045

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