Cancer-Subtype Classification Based on Gene Expression Data

摘要: Recently, the gene expression data, product of high-throughput technology, appeared in earnest and studies related with it (so-called bioinformatics) occupied an important position field biological medical research. The microarray is a revolutionary technology which enables us to monitor several thousands genes simultaneously thus gain insight into phenomena human body (e.g. mechanism cancer progression) at molecular level. To obtain useful information from such measurements, essential analyze data appropriate techniques. However high-dimensionality can bring about some problems as curse dimensionality singularity problem matrix computation, hence makes difficult apply conventional analysis methods. Therefore, development method effectively treat becomes challenging issue computational biology. This research focuses on selection classification for subtype discrimination based (microarray) data.