Name
Abstract | ||
|---|---|---|
Clustering has been one of the most popular methodsto discover useful biological insights from DNA microarray.An interesting paradigm is simultaneous clustering ofboth genes and experiments. This "biclustering" paradigmaims at discovering clusters that consist of a subset of thegenes showing a coherent expression pattern over a subsetof conditions. The pClustering approach is a techniquethat belongs to this paradigm. Despite many theoretical advantages,this technique has been rarely applied to actualgene expression data analysis. Possible reasons include theworst-case complexity of the clustering algorithm and thedifficulty in interpreting clustering results. In this paper, wepropose an enhanced framework for performing pClusteringon actual gene expression analysis. Our new frameworkincludes an effective data preparation method, highly scalableclustering strategies, and an intuitive result interpretationscheme. The experimental result confirms the effectivenessof our approach. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/BIBE.2004.1317354 | BIBE |
Keywords | Field | DocType |
enhanced pclustering,effective data preparation method,intuitive result interpretationscheme,pclusteringon actual gene expression,interesting paradigm,clustering result,gene expression data,clustering algorithm,expression data analysis,coherent expression pattern,simultaneous clustering ofboth gene,dna microarray,gene expression,gene expression analysis,algorithm design and analysis,dna,genetics,molecular biophysics,biclustering,data analysis,data mining,clustering algorithms | Data mining,Computer science,Pattern clustering,Artificial intelligence,Biclustering,Cluster analysis,Data preparation,Clustering high-dimensional data,Algorithm design,Bioinformatics,Machine learning,DNA microarray,Scalability | Conference |
ISBN | Citations | PageRank |
0-7695-2173-8 | 5 | 0.56 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sungroh Yoon | 1 | 566 | 78.80 |
| Christine Nardini | 2 | 65 | 9.00 |
| Luca Benini | 3 | 13116 | 1188.49 |
| Giovanni De Micheli | 4 | 10245 | 1018.13 |