Gene order computation using Alzheimer's DNA microarray gene expression data and the Ant Colony Optimisation algorithm. (14th November 2012)

• Record Type: Journal Article
• Authors: Pang, Chaoyang; Jiang, Gang; Wang, Shipeng; Hu, Benqiong; Liu, Qingzhong; Deng, Youping; Huang, Xudong
• Is Part Of: International journal of data mining and bioinformatics. Volume 6:Number 6(2012)
• Page Start: 617
• Page End: 632
• Publication Date: 2012-11-14
• Subjects: gene order -- ACO -- ant colony optimisation -- AD -- Alzheimer's disease -- DNA microarray; Data mining -- Periodicals; Bioinformatics -- Periodicals; 006.312
• Languages: English
• ISSNs: 1748-5673

Abstract

As Alzheimer's Disease (AD) is the most common form of dementia, the study of AD-related genes via biocomputation is an important research topic. One method of studying AD-related gene is to cluster similar genes together into a gene order. Gene order is a good clustering method as the results can be optimal globally while other clustering methods are only optimal locally. Herein we use the Ant Colony Optimisation (ACO)-based algorithm to calculate the gene order from an Alzheimer's DNA microarray dataset. We test it with four distance measurements: Pearson distance, Spearmen distance, Euclidean distance, and squared Euclidean distance. Our computing results indicate: