Feature Selection Algorithms for Mining High Dimensional DNA Microarray Data

The goal of the challenge was the identification of functional clusters of genes from gene expression profiles in three major cancers: breast, colon and lung that may further the understanding of cancer and open up new avenues of research.

Abstract

The World Heath Organization identified cancer as the second largest contributor to death worldwide, surpassed only by cardiovascular disease. The death count for cancer in 2002 was 7.1 million and is expected to rise to 11.5 million annually by 2030 [17]. In 2009, the International Conference on Machine Learning and Applications, or ICMLA, proposed a challenge regarding gene expression profiles in human cancers. The goal of the challenge was the "identification of functional clusters of genes from gene expression profiles in three major cancers: breast, colon and lung." The identification of these clusters may further our understanding of cancer and open up new avenues of research.