Random forest and gene ontology for functional analysis of microarray data

• Main Authors: Tan Ah Chik @ Mohamad, Mohd. Saberi, Deris, Safa'ai, Tham, Wen Shi, Moorthy, Kohbalan, Sigeru, Omatu, Michifumi, Yoshioka
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2014
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/62391/; http://dx.doi.org/10.1109/IWCIA.2014.6987731

With the development of DNA microarray technology, scientists can now measure gene expression levels. However, such high-throughput microarray technologies produce a long list of genes with small sample size and high noisy genes. The data need to be further analysed and interpreting information on b...