Propagating uncertainty in microarray data analysis

Propagating uncertainty in microarray data analysis

Microarray technology is associated with many sources of experimental uncertainty. In this review we discuss a number of approaches for dealing with this uncertainty in the processing of data from microarray experiments. We focus here on the analysis of high-density oligonucleotide arrays, such as the popular Affymetrix GeneChip array, which contain multiple probes for each target. This set of ...

cDNA Microarray Data Normalization

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...

Enriched Heatmaps for Visualizing Uncertainty in Microarray Data

Since their invention in the 1990’s, DNA microarrays have advanced into a well-established, high-throughput experimentation technique for determining gene regulation. The data resulting from microarray experiments are image scans of physical microarrays. During a multi-step preparation process, a signal intensity for each gene of each sample is extracted, corrected, and aggregated into a numeri...

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...