Predicting protein-protein interactions using graph invariants and a neural network

D. Knisley; J. Knisley

doi:10.1016/j.compbiolchem.2011.03.003

Predicting protein-protein interactions using graph invariants and a neural network

D. Knisley
, J. Knisley

East Tennessee State University

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	108-113
Number of pages	6
Journal	Computational Biology and Chemistry
Volume	35
Issue number	2
DOIs	https://doi.org/10.1016/j.compbiolchem.2011.03.003
State	Published - Apr 2011

ASJC Scopus Subject Areas

Structural Biology
Biochemistry
Organic Chemistry
Computational Mathematics

Keywords

Graph-theoretic model
Machine learning
Protein-protein interactions

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10.1016/j.compbiolchem.2011.03.003

Cite this

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title = "Predicting protein-protein interactions using graph invariants and a neural network",

keywords = "Graph-theoretic model, Machine learning, Protein-protein interactions",

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AU - Knisley, J.

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KW - Machine learning

KW - Protein-protein interactions

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JO - Computational Biology and Chemistry

JF - Computational Biology and Chemistry

IS - 2

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Predicting protein-protein interactions using graph invariants and a neural network

ASJC Scopus Subject Areas

Keywords

Access to Document

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