Network diffusion with centrality measures to identify disease-related genes
type: Item
instance of: scholarly article
title: Network diffusion with centrality measures to identify disease-related genes
zbMATH Open document ID: 1471.92227
author: Panisa Janyasupab
author: Apichat Suratanee
author: Kitiporn Plaimas
published in: Mathematical Biosciences and Engineering
publication date: 2021-09-10T00:00:00Z
Mathematics Subject Classification ID: 92D10
Mathematics Subject Classification ID: 92C32
Mathematics Subject Classification ID: 92C42
zbMATH DE Number: 7393682
zbMATH Keywords: protein-protein interaction network
zbMATH Keywords: disease-related genes
zbMATH Keywords: diffusion
zbMATH Keywords: centrality
Wikidata QID: Q110650981
describes a project that uses: STRING
describes a project that uses: diffuStats
describes a project that uses: EGAD
describes a project that uses: RANKS
describes a project that uses: DisGeNET
describes a project that uses: GeneMANIA
describes a project that uses: AptRank
MaRDI profile type: Publication
full work available at URL: mbe.2021147
OpenAlex ID: W3140188173
cites work: Learning Theory and Kernel Machines
cites work: The matrix-forest theorem and measuring relations in small social groups
cites work: Emergence of Scaling in Random Networks
DOI: 10.3934/MBE.2021147
description: scientific article; zbMATH DE number 7393682