K -Profiles: A Nonlinear Clustering Method for Pattern Detection in High Dimensional Data

With modern technologies such as microarray, deep sequencing, and liquid chromatography-mass spectrometry (LC-MS), it is possible to measure the expression levels of thousands of genes/proteins simultaneously to unravel important biological processes. A very first step towards elucidating hidden pat...

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Veröffentlicht in:	BioMed research international Jg. 2015; H. 2015; S. 1 - 10
Hauptverfasser:	Yu, Tianwei, Lu, Jianwei, Zhao, Qing, Wang, Kai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2015 John Wiley & Sons, Inc
Schlagworte:	Algorithms Bioinformatics Cluster Analysis Clustering Gene Expression Gene Expression Profiling - statistics & numerical data Genomics High-Throughput Nucleotide Sequencing - statistics & numerical data Humans Liquid chromatography Mass spectrometry Methods Microarray Analysis - statistics & numerical data Models, Statistical Random variables Statistical inference Traveling salesman problem Atlanta Georgia United States > US China
ISSN:	2314-6133, 2314-6141, 2314-6141
Online-Zugang:	Volltext
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