Between-group analysis of microarray data

Between-group analysis of microarray data

MOTIVATION Most supervised classification methods are limited by the requirement for more cases than variables. In microarray data the number of variables (genes) far exceeds the number of cases (arrays), and thus filtering and pre-selection of genes is required. We describe the application of Between Group Analysis (BGA) to the analysis of microarray data. A feature of BGA is that it can be us...

cDNA Microarray Data Normalization

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...

Reference : Microarray Data Analysis

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...

Microarray Data Analysis

Micro-array Microarrays are microscopic array of single-stranded DNA molecules immobilized on a solid surface by biochemical synthesis also called as DNA chips, gene chips, biochips, DNA microarrays or simply the arrays. Basic idea behind microarray technology is to simultaneously measure the relative expression level of thousands of genes within a particular cell population or tissue. Microarr...