Reference Vector-guided Evolutionary Algorithm for cluster analysis of single-cell transcriptomes

Single-cell RNA-sequencing (scRNA-seq) has revolutionized transcriptomic studies by providing detailed insights into gene expression profiles at the single-cell level. This technology allows researchers to capture expression patterns of thousands of genes across hundreds or thousands of individual c...

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Veröffentlicht in:	Computer methods and programs in biomedicine Jg. 269; S. 108873
Hauptverfasser:	Rodríguez-Bejarano, Fernando M., Vega-Rodríguez, Miguel A., Santander-Jiménez, Sergio
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Ireland Elsevier B.V 01.09.2025
Schlagworte:	Algorithms Cluster Analysis Computational Biology Gene Expression Profiling - methods Humans Multi-objective optimization Reference Vector-guided Evolutionary Algorithm ScRNA-seq Sequence Analysis, RNA Single-Cell Analysis - methods Single-cell transcriptome Transcriptome Cluster analysis Single-cell transcriptome ScRNA-seq Multi-objective optimization Reference Vector-guided Evolutionary Algorithm
ISSN:	0169-2607, 1872-7565, 1872-7565
Online-Zugang:	Volltext
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