Rough Based Symmetrical Clustering for Gene Expression Profile Analysis

Identification of coexpressed genes is the central goal in microarray gene expression data analysis. Point symmetry-based clustering is an important unsupervised learning technique for recognizing symmetrical convex or non-convex shaped clusters. To enable fast automatic clustering of large microarr...

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Veröffentlicht in:	IEEE transactions on nanobioscience Jg. 14; H. 4; S. 360 - 367
Hauptverfasser:	Sarkar, Anasua, Maulik, Ujjwal
Format:	Magazine Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.06.2015
Schlagworte:	Algorithm design and analysis Automatic clustering algorithm Clustering algorithms Gene expression Indexes K-means algorithm Lungs microarray gene expression data Partitioning algorithms point-symmetry based distance Program processors rough set decision rules
ISSN:	1536-1241, 1558-2639
Online-Zugang:	Volltext
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