ClutrFree: Cluster tree visualization and interpretation

Ghislain Bidaut; Michael F. Ochs

doi:10.1093/bioinformatics/bth307

ClutrFree: Cluster tree visualization and interpretation

Ghislain Bidaut, Michael F. Ochs

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

Summary: ClutrFree facilitates the visualization and interpretation of clusters or patterns computed from microarray data through a graphical user interface that displays patterns, membership information of the genes and annotation statistics simultaneously. ClutrFree creates a tree linking the patterns based on similarity, permitting the navigation among patterns identified by different algorithms or by the same algorithm with different parameters, and aids the inferring of conclusions from a microarray experiment.

Original language	English (US)
Pages (from-to)	2869-2871
Number of pages	3
Journal	Bioinformatics
Volume	20
Issue number	16
DOIs	https://doi.org/10.1093/bioinformatics/bth307
State	Published - Nov 1 2004
Externally published	Yes

ASJC Scopus subject areas

Clinical Biochemistry
Computer Science Applications
Computational Theory and Mathematics

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10.1093/bioinformatics/bth307

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abstract = "Summary: ClutrFree facilitates the visualization and interpretation of clusters or patterns computed from microarray data through a graphical user interface that displays patterns, membership information of the genes and annotation statistics simultaneously. ClutrFree creates a tree linking the patterns based on similarity, permitting the navigation among patterns identified by different algorithms or by the same algorithm with different parameters, and aids the inferring of conclusions from a microarray experiment.",

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ClutrFree: Cluster tree visualization and interpretation

Abstract

ASJC Scopus subject areas

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