iPPI-PseAAC(CGR): identify protein-protein interactions by incorporating chaos game representation into PseAAC
type: Item
instance of: scholarly article
title: iPPI-PseAAC(CGR): identify protein-protein interactions by incorporating chaos game representation into PseAAC
zbMATH Open document ID: 1406.92189
author: Xuan Xiao
author: Kuo-Chen Chou
author: Jianhua Jia
author: Xiaoyan Li
author: Wangren Qiu
published in: Journal of Theoretical Biology
publication date: 2019-02-05T00:00:00Z
Mathematics Subject Classification ID: 92C40
Mathematics Subject Classification ID: 92D20
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 92-08
zbMATH DE Number: 7012407
zbMATH Keywords: chaos game representation
zbMATH Keywords: pseudo amino acid composition
zbMATH Keywords: random forests
zbMATH Keywords: cross validation
zbMATH Keywords: \textit{Saccharomyces cerevisiae}
zbMATH Keywords: \textit{Helicobacter pylori}
zbMATH Keywords: web-server
Wikidata QID: Q57480510
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iPPI-PseAAC(CGR): identify protein-protein interactions by incorporating chaos game representation into PseAAC (MaRDI profile type)
MaRDI profile type: Publication

iPPI-PseAAC(CGR): identify protein-protein interactions by incorporating chaos game representation into PseAAC (full work available at URL)
full work available at URL: j.jtbi.2018.10.021

iPPI-PseAAC(CGR): identify protein-protein interactions by incorporating chaos game representation into PseAAC (OpenAlex ID)
OpenAlex ID: W2897596315

iPPI-PseAAC(CGR): identify protein-protein interactions by incorporating chaos game representation into PseAAC (cites work)
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cites work: Q4533353

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iPPI-PseAAC(CGR): identify protein-protein interactions by incorporating chaos game representation into PseAAC (DOI)
DOI: 10.1016/J.JTBI.2018.10.021

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