Title :
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
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;
Conference_Titel :
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9490-9
DOI :
10.1109/IJCNN.2006.247044
