Evidence map›Paper›PMID 18628289›Full record

ArticleBioinformatics (Oxford, England)2008

PathCluster: a framework for gene set-based hierarchical clustering.

Tae-Min Kim, Seon-Hee Yim, Yong-Bok Jeong, Yu-Chae Jung, Yeun-Jun Chung

Abstract read
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Article in Bioinformatics (Oxford, England), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tae-Min KimDepartment of Microbiology and Integrated Research Center for Genome Polymorphism, College of Medicine, The Catholic University of Korea, Seoul 137-701, Korea.
Seon-Hee Yim
Yong-Bok Jeong
Yu-Chae Jung
Yeun-Jun Chung

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationGene clustering and gene set-based functional analysis are widely used for the analysis of expression profiles. The development of a comprehensive method jointly combining the two methods would allow for greater biological insights.

resultsWe developed a software package, PathCluster for gene set-based clustering via an agglomerative hierarchical clustering algorithm. The distances between predefined gene sets are illustrated in a dendrogram in which the relationships between gene sets can be visually assessed. Valuable biological insights can be obtained according to the type of gene sets, e.g. coordinated action of molecular functions (functional gene sets) and putative motif synergy (promoter gene set) in a biological process. The combined use of gene sets further enables the interrogation of different biological themes and their putative relationships, such as function-versus-regulatory motif or drug-versus-function. PathCluster can also be used for knowledge-based sample partitioning or class categorization for clinical purposes. With extended applicability, PathCluster will facilitate the gleaning of meaningful biological insights and testable hypotheses in the contexts of given expression profiles. AVAILABILITY: PathCluster executable files can be freely downloaded at http://www.systemsbiology.co.kr/PathCluster/.

Indexed as

AlgorithmsCluster AnalysisSoftwareUser-Computer InterfaceComputer GraphicsGene Expression ProfilingMultigene Family

Identifiers

PMID18628289
PMCPMC2519159

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.