Analyzing Kernel Matrices for the Identification of Differentially Expressed Genes

Analyzing Kernel Matrices for the Identification of Differentially Expressed Genes

One of the most important applications of microarray data is the class prediction of biological samples. For this purpose, statistical tests have often been applied to identify the differentially expressed genes (DEGs), followed by the employment of the state-of-the-art learning machines including the Support Vector Machines (SVM) in particular. The SVM is a typical sample-based classifier whos...

Hunting for differentially expressed genes.

Differentially expressed genes are usually identified by comparing steady-state mRNA concentrations. Several methods have been used for this purpose, including differential hybridization, cDNA subtraction, differential display and, more recently, DNA chips. Subtractive hybridization has significantly improved after the polymerase chain reaction was incorporated into the original method and many...

identification of differentially expressed genes in l02 human hepatocyte induced by hepatitis c virus core protein

Identification of differentially expressed genes using minute amounts of RNA.

Identification of differentially expressed genes is critical to understand the molecular mechanisms underlying both normal and pathophysiological events. A significant limiting factor associated with such studies can often be the quantity of available starting material (i.e., RNA). Among the existing subtraction hybridization techniques that have been previously used for such studies at the lev...

Identification of differentially expressed genes in carp rods and cones

PURPOSE Rods and cones differ in their photoresponse characteristics, morphology, and susceptibilities to certain diseases. To contribute to the studies at the molecular level of these differences, we tried to identify genes expressed preferentially in rods or cones. METHODS From purified carp rods and cones, we extracted their RNA and obtained corresponding cDNA pools (rod cDNA and cone cDNA...