Challenges for MicroRNA Microarray Data Analysis

Challenges for MicroRNA Microarray Data Analysis

Microarray is a high throughput discovery tool that has been broadly used for genomic research. Probe-target hybridization is the central concept of this technology to determine the relative abundance of nucleic acid sequences through fluorescence-based detection. In microarray experiments, variations of expression measurements can be attributed to many different sources that influence the stab...

microarray data analysis for detection and classification of viral infection

dna microarrays consist of collection of dna microscopic spots that in order to form an array attached to a solid surface such as glass, plastic or silicon chip. the pieces of fixed dna considered as a searcher. in this technology it is possible to test sample against thousands probes for specific genes. with this ability, arrays accelerate the biological investigations, gene finding, molecular...

cDNA Microarray Data Normalization

Data Mining Methods for Microarray Data Analysis

The advent of gene expression microarray technology enables the simultaneous measurement of expression levels for thousands or tens of thousands of genes in a single experiment (Schena, et al., 1995). Analysis of gene expression microarray data presents unprecedented opportunities and challenges for data mining in areas such as gene clustering (Eisen, et al., 1998; Tamayo, et al., 1999), sample...

Analysis of microRNA microarray (MM chip) data for aging mice models

ANALYSIS OF MICRORNA MICROARRA Y (MM CHIP) DATA FOR AGING MICE MODELS Vikranth Shetty August 2nd, 2012 The present experimental designs have unique challenges in the analysis of microRNA expression intensity levels. In this project, various Normalization techniques were discussed with different statistical techniques and their application in an analysis performed at the Genes Centre of aging on...