Consensus Clustering for Microarray Gene Expression Data 

Journal Title: Bonfring International Journal of Data Mining - Year 2014, Vol 4, Issue 4

Abstract

Cluster analysis in microarray gene expression studies is used to find groups of correlated and co-regulated genes. Several clustering algorithms are available in the literature. However no single algorithm is optimal for data generated under different technological platforms and experimental conditions. It is possible to combine several clustering methods and solutions using an ensemble approach. The method also known as consensus clustering is used here to examine the robustness of cluster solutions from several different algorithms. The method proposed here also is useful for estimating the number of clusters in a dataset. Here we examine the properties of consensus clustering using real and simulated datasets 

Authors and Affiliations

Selvamani Muthukalathi, Ravanan Ramanujam, Anbupalam Thalamuthu

Keywords

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  • EP ID EP121879
  • DOI 10.9756/BIJDM.6140
  • Views 121
  • Downloads 0

How To Cite

Selvamani Muthukalathi, Ravanan Ramanujam, Anbupalam Thalamuthu (2014). Consensus Clustering for Microarray Gene Expression Data . Bonfring International Journal of Data Mining, 4(4), 26-33. https://europub.co.uk./articles/-A-121879