MILVA: An interactive tool for the exploration of multidimensional microarray data | Zendy

Davide D’Alimonte | Zendy; David Lowe | Zendy; Ian T. Nabney | Zendy; Vassilis Mersinias | Zendy; Colin P. Smith | Zendy

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MILVA: An interactive tool for the exploration of multidimensional microarray data

Author(s) -

Davide D’Alimonte,

David Lowe,

Ian T. Nabney,

Vassilis Mersinias,

Colin P. Smith

Publication year - 2005

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bti676

Subject(s) - computer science , cluster analysis , software , data mining , microarray databases , visualization , microarray analysis techniques , documentation , hierarchical clustering , gene chip analysis , microarray , biology , machine learning , gene expression , gene , programming language , genetics

Clustering techniques such as k-means and hierarchical clustering are commonly used to analyze DNA microarray derived gene expression data. However, the interactions between processes underlying the cell activity suggest that the complexity of the microarray data structure may not be fully represented with discrete clustering methods.

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