Classification and Clustering on Microarray Data for Gene Functional Prediction Using R

Gene expression data (microarrays and RNA-sequencing data) as well as other kinds of genomic data can be extracted from publicly available genomic data. Here, we explain how to apply multivariate cluster and classification methods on gene expression data. These methods have become very popular and a...

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Veröffentlicht in:	Methods in molecular biology (Clifton, N.J.) N.J.), 2016, Vol.1375, p.41-54
Hauptverfasser:	Kleine, Liliana López, Montaño, Rosa, Torres-Avilés, Francisco
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Cluster Analysis Clustering Computational Biology - methods Databases, Genetic Functional prediction Gene Expression Profiling - methods Genomics - methods Microarrays Multivariate data analysis Oligonucleotide Array Sequence Analysis - methods Support Vector Machine
Online-Zugang:	Volltext
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