Comparison of Visualization Methods of Genome-wide SNP Profiles in Childhood Acute Lymphoblastic Leukaemia

Data mining and knowledge discovery have been applied to datasets in various industries including biomedical data. Modelling, data mining and visualization in biomedical data address the problem of extracting knowledge from large and complex biomedical data. The current challenge of dealing with such data is to develop statistical-based and data mining methods that search and browse the underlying patterns within the data. In this paper, we employ several data reduction methods for visualizing genome

• Type: Conference
• Year: 2008
• Where: AUSDM
• Authors: Ahmad Al-Oqaily, Paul J. Kennedy, Daniel R. Catchpoole, Simeon J. Simoff
• Keywords: AUSDM 2008, Biomedical Data, Data Mining, Data Reduction Methods