Computational cluster validation in post-genomic data analysis (Q30990574)

28 June 2017

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title

Computational cluster validation in post-genomic data analysis (English)

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28 June 2017

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28 June 2017

Julia Handl

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28 June 2017

Joshua Knowles

series ordinal

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28 June 2017

language of work or name

English

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publication date

24 May 2005

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28 June 2017

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28 June 2017

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28 June 2017

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28 June 2017

page(s)

3201-3212

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Some new indexes of cluster validity

28 June 2017

cites work

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Comparisons and validation of statistical clustering techniques for microarray gene expression data

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A Cluster Separation Measure

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Well-Separated Clusters and Optimal Fuzzy Partitions

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Cluster analysis and display of genome-wide expression patterns

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Why so many clustering algorithms

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Scoring clustering solutions by their biological relevance

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Molecular classification of cancer: class discovery and class prediction by gene expression monitoring

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A hierarchical unsupervised growing neural network for clustering gene expression patterns

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Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis-driven science in the post-genomic era

21 January 2018

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Bootstrapping cluster analysis: assessing the reliability of conclusions from microarray experiments

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Objective Criteria for the Evaluation of Clustering Methods

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Silhouettes: A graphical aid to the interpretation and validation of cluster analysis

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Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation

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Systematic determination of genetic network architecture

21 January 2018

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Iterative Group Analysis (iGA): a simple tool to enhance sensitivity and facilitate interpretation of microarray experiments

21 January 2018

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Validating clustering for gene expression data.

21 January 2018

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Model-based clustering and data transformations for gene expression data

21 January 2018

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10.1093/BIOINFORMATICS/BTI517

21 January 2018

Identifiers

DOI

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journals/bioinformatics/HandlKK05

28 June 2017

DBLP publication ID

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DBLP Dataset 2021-01-02

28 January 2021

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