Hochschulschrift
Similarity-based clustering algorithms for gene expression profiles
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Dimensions
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21 cm
- Extent
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IX, 260 S.
- Language
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Englisch
- Notes
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Ill., graph. Darst.
München, Techn. Univ., Diss., 2003
- Classification
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Informatik
Biowissenschaften, Biologie
- Keyword
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Genexpression
Cluster-Analyse
Algorithmus
- Creator
- Table of contents
- Rights
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Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
-
11.06.2025, 1:35 PM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
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Engineering Graph Clustering Algorithms
Fast approximate hierarchical clustering using similarity heuristics
Measuring similarity between gene expression profiles: a Bayesian approach
Experiments on Graph Clustering Algorithms
Novel clustering-based pruning algorithms
Comparing applicability of prevalent Clustering Algorithms for Document Clustering
Clustering of gene expression data: performance and similarity analysis
GO functional similarity clustering depends on similarity measure, clustering method, and annotation completeness
Evaluation of clustering algorithms for gene expression data
Conditional clustering of temporal expression profiles
Similarity Measures for Clustering SNP Data
Similarity Measures for Clustering SNP Data
Engineering Graph Clustering Algorithms
Fast approximate hierarchical clustering using similarity heuristics
Measuring similarity between gene expression profiles: a Bayesian approach
Experiments on Graph Clustering Algorithms
Novel clustering-based pruning algorithms
Comparing applicability of prevalent Clustering Algorithms for Document Clustering
Clustering of gene expression data: performance and similarity analysis
GO functional similarity clustering depends on similarity measure, clustering method, and annotation completeness
Evaluation of clustering algorithms for gene expression data
Conditional clustering of temporal expression profiles
Similarity Measures for Clustering SNP Data
Similarity Measures for Clustering SNP Data
Engineering Graph Clustering Algorithms
Fast approximate hierarchical clustering using similarity heuristics
Measuring similarity between gene expression profiles: a Bayesian approach
Experiments on Graph Clustering Algorithms
Novel clustering-based pruning algorithms