Protein sequence comparison and DNA-binding protein identification with generalized PseAAC and graphical representation.

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Protein sequence comparison and DNA-binding protein identification with generalized PseAAC and graphical representation.

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2018 nî lūn-bûn

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2018年の論文

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年学术文章

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2018年學術文章

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Protein sequence comparison an ...... and graphical representation.

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Protein sequence comparison an ...... and graphical representation.

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Protein sequence comparison an ...... and graphical representation.

@en

Protein sequence comparison an ...... and graphical representation.

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Protein sequence comparison an ...... and graphical representation.

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Protein sequence comparison an ...... and graphical representation.

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P1476

Protein sequence comparison an ...... and graphical representation.

@en

P2093

Changzhong Wang

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Chun Li

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Jialing Zhao

http://www.w3.org/2001/XMLSchema#string

Yuhua Yao

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P2860

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

Principles that govern the folding of protein chains

Protein structure prediction from sequence variation

Amino acid difference formula to help explain protein evolution

Assessing the accuracy of prediction algorithms for classification: an overview

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

PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions.

enDNA-Prot: identification of DNA-binding proteins by applying ensemble learning.

Prediction of protein cellular attributes using pseudo-amino acid composition.

iDNA-Prot: identification of DNA binding proteins using random forest with grey model.

P304

100-110

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P31

scholarly article

P356

10.2174/1386207321666180130100838

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P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P577

2018-01-01T00:00:00Z

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P698

29380690

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P932

5930480

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