Microarray Analysis

Microarray Analysis

M icroarrays are used to survey the expression of thousands of genes in a single experiment. Applied creatively, they can be used to test as well as generate new hypotheses. As the technology becomes more accessible, microarray analysis is finding applications in diverse areas of biology. Microarrays are simply a method for visualizing which genes are likely to be used in a particular tissue at...

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...

cDNA Microarray Data Normalization

Microarray analysis in GenStat

MicroClAn: Microarray clustering analysis

Evaluating clustering results is a fundamental task in microarray data analysis, due to the lack of enough biological knowledge to know in advance the true partition of genes. Many quality indexes for gene clustering evaluation have been proposed. A critical issue in this domain is to compare and aggregate quality indexes to select the best clustering algorithm and the optimal parameter setting...