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Gana Dresen et al., 2008 - Google Patents

New resampling method for evaluating stability of clusters

Gana Dresen et al., 2008

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Document ID
16049989932681673536
Author
Gana Dresen I
Boes T
Huesing J
Neuhaeuser M
Joeckel K
Publication year
Publication venue
BMC bioinformatics

External Links

Snippet

Background Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in clustering procedures. Statistical methods are required to distinguish between real and random …
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Classifications

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    • G06F19/24—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30601—Clustering or classification including cluster or class visualization or browsing
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    • G06F19/20—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for hybridisation or gene expression, e.g. microarrays, sequencing by hybridisation, normalisation, profiling, noise correction models, expression ratio estimation, probe design or probe optimisation
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