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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	The Journal of supercomputing Jg. 78; H. 7; S. 9017 - 9037
Hauptverfasser:	Fu, You, Zhou, Wei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.05.2022 Springer Nature B.V
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!