Zoo: Selecting Transcriptomic and Methylomic Biomarkers by Ensembling Animal-Inspired Swarm Intelligence Feature Selection Algorithms

Biological omics data such as transcriptomes and methylomes have the inherent “large p small n” paradigm, i.e., the number of features is much larger than that of the samples. A feature selection (FS) algorithm selects a subset of the transcriptomic or methylomic biomarkers in order to build a bette...

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Veröffentlicht in:	Genes Jg. 12; H. 11; S. 1814
Hauptverfasser:	Han, Yuanyuan, Huang, Lan, Zhou, Fengfeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 18.11.2021 MDPI
Schlagworte:	Algorithms Alzheimer's disease Behavior Biomarkers Biomarkers - metabolism Classification Data analysis data collection Datasets Epigenome Feature selection Gene expression Genomes Genomics - methods Genomics - standards Humans Intelligence Learning algorithms Lung cancer Machine Learning Optimization algorithms prediction Prediction models Software - standards swarms Technical Note Transcriptome Transcriptomes Transcriptomics zoos prediction machine learning program code feature selection swarm intelligence
ISSN:	2073-4425, 2073-4425
Online-Zugang:	Volltext
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