A New SOM-based Visualization Technique for DNA Microarray Data

Author

Patra, Jagdish C. ; Ang, Ee Luang ; Meher, Pramod K. ; Zhen, Qin

Author_Institution

Nanyang Technol. Univ., Singapore

fYear

0

fDate

0-0 0

Firstpage

4429

Lastpage

4434

Abstract

We present a new side-intensity modulated self-organizing map (SIM-SOM) for improved visualization of multidimensional data. We have utilized DNA microarray dataset [15] for this purpose. A Gene Signature which contains a set of most informative genes was extracted using the discrimination factor method [16]. Next, the reduced dimensional microarray data are visualized using the proposed SIM-SOM. In addition to providing clear and unambiguous cluster boundary, the SIM-SOM can help in discovering new subtypes of cancer.

Keywords

DNA; cancer; data visualisation; genetics; matrix algebra; medical diagnostic computing; molecular biophysics; patient treatment; pattern classification; pattern clustering; self-organising feature maps; tumours; DNA microarray data; SIM-SOM technique; SOM-based visualization technique; U-matrix representation; cancer treatment; cluster visualization; discrimination factor method; gene signature; multidimensional data visualization; side-intensity modulated self-organizing map; tumour classification; Cancer; Clustering algorithms; DNA; Data mining; Data visualization; Gene expression; Multidimensional systems; Neoplasms; Neurons; Organizing;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2006. IJCNN '06. International Joint Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-9490-9

Type

conf

DOI

10.1109/IJCNN.2006.247044

Filename

1716713