Literature DB >> 16333293

How does gene expression clustering work?

Patrik D'haeseleer1.   

Abstract

Clustering is often one of the first steps in gene expression analysis. How do clustering algorithms work, which ones should we use and what can we expect from them?

Mesh:

Year:  2005        PMID: 16333293     DOI: 10.1038/nbt1205-1499

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  158 in total

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4.  Comparing the performance of biomedical clustering methods.

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7.  Multivariate regression analysis of distance matrices for testing associations between gene expression patterns and related variables.

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Journal:  Proc Natl Acad Sci U S A       Date:  2006-12-04       Impact factor: 11.205

8.  Discovery of pituitary adenylate cyclase-activating polypeptide-regulated genes through microarray analyses in cell culture and in vivo.

Authors:  Lee E Eiden; Babru Samal; Matthew J Gerdin; Tomris Mustafa; David Vaudry; Nikolas Stroth
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Review 9.  Systems analysis of high-throughput data.

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10.  Cytokine-induced signaling networks prioritize dynamic range over signal strength.

Authors:  Kevin A Janes; H Christian Reinhardt; Michael B Yaffe
Journal:  Cell       Date:  2008-10-17       Impact factor: 41.582

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