A heterogeneous parallel implementation of the Markov clustering algorithm for large-scale biological networks on distributed CPU–GPU clusters

Biological interaction databases accommodate information about interacted proteins or genes. Clustering on the networks formed by the interaction information for finding regions highly connected could reveal the functional affinities or structural similarities between protein or gene entities. With...

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Vydané v:	The Journal of supercomputing Ročník 78; číslo 7; s. 9017 - 9037
Hlavní autori:	Fu, You, Zhou, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.05.2022 Springer Nature B.V
Predmet:	Algorithms Clustering Compilers Computer Science Data transmission Interpreters Processor Architectures Programming Languages Proteins Parallel computing Biological interaction network Compute Unified Device Architecture Heterogenous computing Cluster computing
ISSN:	0920-8542, 1573-0484
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