Super-paramagnetic clustering of yeast gene expression profiles

Details Super-paramagnetic clustering of yeast gene expression profiles Super-paramagnetic clustering of yeast gene expression profiles

1999-11-17

arxiv.org/abs/physics/9911038v1

Physica A 279 (2000) 457--464

Physics

Biological Physics

Scientific paper

10.1016/S0378-4371(99)00524-5

High-density DNA arrays, used to monitor gene expression at a genomic scale, have produced vast amounts of information which require the development of efficient computational methods to analyze them. The important first step is to extract the fundamental patterns of gene expression inherent in the data. This paper describes the application of a novel clustering algorithm, Super-Paramagnetic Clustering (SPC) to analysis of gene expression profiles that were generated recently during a study of the yeast cell cycle. SPC was used to organize genes into biologically relevant clusters that are suggestive for their co-regulation. Some of the advantages of SPC are its robustness against noise and initialization, a clear signature of cluster formation and splitting, and an unsupervised self-organized determination of the number of clusters at each resolution. Our analysis revealed interesting correlated behavior of several groups of genes which has not been previously identified.

Affiliated with

Also associated with

No associations

Rating

Super-paramagnetic clustering of yeast gene expression profiles does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Super-paramagnetic clustering of yeast gene expression profiles, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Super-paramagnetic clustering of yeast gene expression profiles will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-239282