Gene-Ontology-based clustering of gene expression data
Copyright policy )Gene-Ontology-based clustering of gene expression data
Abstract Summary: The expected correlation between genetic co-regulation and affiliation to a common biological process is not necessarily the case when numerical cluster algorithms are applied to gene expression data. GO-Cluster uses the tree structure of the Gene Ontology database as a framework for numerical clustering, and thus allowing a simple visualization of gene expression data at various levels of the ontology tree. Availability: The 32-bit Windows application is freely available at http://www.mpibpc.mpg.de/go-cluster/ Supplementary information: A comprehensive software manual, hints for troubleshooting and commented examples are available from the website.
User-Computer Interface, Gene Expression Profiling, Terminology as Topic, Cluster Analysis, Database Management Systems, Proteins, Documentation, Databases, Protein, Software
User-Computer Interface, Gene Expression Profiling, Terminology as Topic, Cluster Analysis, Database Management Systems, Proteins, Documentation, Databases, Protein, Software
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).43 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!