Background: Microarray experiments can simultaneously determine the expression of thousands of genes. Identification of potential genes from microarray data for diagnosis of cancer is important. This study aimed to identify genes for the diagnosis of acute myeloid and lymphoblastic leukemia using a sparse feature selection method. Materials and Methods: In this descriptive study, the expressio...

If we are trying to identify genes that are not expressed identically in all populations and we have more than two populations, we have to try other methods than presented earlier. For example, consider the question: Is gene x expressed differently in three groups for us to conclude at the desired significance level gene x is expressed differently in the three populations. To do this, we use st...

Based on the concept of simultaneously studying the expression of a large number of genes, a DNA microarray is a chip on which numerous probes are placed for hybridization with a tissue sample. Biological complexity encoded by a deluge of microarray data is being translated into all sorts of computational, statistical, or mathematical problems bearing on biological issues ranging from genetic c...

We begin with an example that will be used throughout the chapter.The data come from Sorlie et al. (2001). The goal of that article was to “classify breast carcinomas based on variations in gene expression derived from complementary deoxyribonucleic acid (cDNA) microarrays and to correlate tumor characteristics to clinical outcome.’’ The data consist of log fluorescence values for 456 cDNA clon...