A hybrid multi-objective whale optimization algorithm for analyzing microarray data based on Apache Spark

A microarray is a revolutionary tool that generates vast volumes of data that describe the expression profiles of genes under investigation that can be qualified as Big Data. Hadoop and Spark are efficient frameworks, developed to store and analyze Big Data. Analyzing microarray data helps researche...

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Veröffentlicht in:	PeerJ. Computer science Jg. 7; S. e416
Hauptverfasser:	AbdelAziz, Amr Mohamed, Soliman, Taysir, Ghany, Kareem Kamal A., Sewisy, Adel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States PeerJ. Ltd 25.03.2021 PeerJ, Inc PeerJ Inc
Schlagworte:	Algorithms Algorithms and Analysis of Algorithms Analysis Big Data Cetacea Clustering Computational Biology Data analysis Data mining Data Mining and Machine Learning Data Science Datasets Distributed and parallel computation Distributed and Parallel Computing Evaluation Fibroblasts Gene expression Genes Mathematical optimization Methods Microarray data Mopping Multiple objective analysis Optimization Optimization algorithms Performance evaluation Swarm intelligence Tabu search Distributed and parallel computation Swarm intelligence Data mining Microarray data
ISSN:	2376-5992, 2376-5992
Online-Zugang:	Volltext
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