Prediction of biologically significant components from microarray data: Independently Consistent Expression Discriminator (ICED)

Prediction of biologically significant components from microarray data: Independently Consistent Expression Discriminator (ICED)

MOTIVATION Class distinction is a supervised learning approach that has been successfully employed in the analysis of high-throughput gene expression data. Identification of a set of genes that predicts differential biological states allows for the development of basic and clinical scientific approaches to the diagnosis of disease. The Independent Consistent Expression Discriminator (ICED) was ...

Prediction of Glycan Structures from Microarray Data Prediction of Glycan Structures from the Glycan Related Microarray Expression Profiles

Glycans, which attach to some lipids and to Asn/Ser/Thr residues of proteins, draw attention as the third biological chains next to DNA and protein, since they play a key role in embryogenesis, immunity and diseases. Glycans consist of carbohydrate sugars and their derivatives such as glucose (Glc), mannose (Man), N-acetyl-glucosamine (GlcNAc) and sialic acid (Neu5Ac), and form linear and branc...

An Algorithm for Finding Biologically Significant Features in Microarray Data Based on A Priori Manifold Learning

Microarray databases are a large source of genetic data, which, upon proper analysis, could enhance our understanding of biology and medicine. Many microarray experiments have been designed to investigate the genetic mechanisms of cancer, and analytical approaches have been applied in order to classify different types of cancer or distinguish between cancerous and non-cancerous tissue. However,...

cDNA Microarray Data Normalization

Deriving quantitative conclusions from microarray expression data

MOTIVATION The last few years have seen the development of DNA microarray technology that allows simultaneous measurement of the expression levels of thousands of genes. While many methods have been developed to analyze such data, most have been visualization-based. Methods that yield quantitative conclusions have been diverse and complex. RESULTS We present two straightforward methods for id...