ClusterJudge-package: Judging Quality of Clustering Methods using Mutual...

In pasculescu/ClusterJudge: Judging Quality of Clustering Methods using Mutual Information

Description

ClusterJudge implements the functions, examples and other software published as an algorithm by Gibbons, FD and Roth FP. The article is called "Judging the Quality of Gene Expression-Based Clustering Methods Using Gene Annotation" and it appeared in Genome Research, vol. 12, pp1574-1581 (2002). See package?ClusterJudge for an overview.

Details

The DESCRIPTION file: This package was not yet installed at build time.

Index: This package was not yet installed at build time.
ClusterJudge is a way to judge the quality of clustering performed elsewhere on some entities. This judgement is based on some additional entitity-attribute information. For example, using Gene Ontology annotated attributes offered by Saccharomyces Genome Database (SGD), it can judge the clusters of Yeast genes (i.e. entities) resulted from experiments related to the mitotic Yeast cell cycle. This is done by evaluating the mutual information between a gene membership in a cluster, and the attributes it possesses.

Author(s)

Adrian Pasculescu

Maintainer: Adrian Pasculescu <[e-mail]>

References

Gibbons, F.D. and Roth F.P., (2002) Judging the Quality of Gene Expression-Based Clustering Methods Using Gene Annotation. Genome Research, vol. 12, pp1574-1581.

Tavazoie, et al. (1999) Systematic determination of genetic network architecture. Nature Genetics, 22, 281-285

Cho, et al. (1998) A genome-wide transcriptional analysis of the mitotic cell cycle. Molecular Cell,2, 65-73.

Cover,T.M. and Thomas,J.A. 1991. Elements of information theory (ed. D.L. Schilling). Wiley-Interscience,New York.

pasculescu/ClusterJudge documentation built on May 29, 2019, 4:52 p.m.