Identification of differentially expressed root genes upon rhizomania disease

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...

Identification of Common Differentially Expressed Genes in Urinary Bladder Cancer

BACKGROUND Current diagnosis and treatment of urinary bladder cancer (BC) has shown great progress with the utilization of microarrays. PURPOSE Our goal was to identify common differentially expressed (DE) genes among clinically relevant subclasses of BC using microarrays. METHODOLOGY/PRINCIPAL FINDINGS BC samples and controls, both experimental and publicly available datasets, were analyze...

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...