When microarray experiments are conducted within their optimal dynamic range, measurements reflect the magnitude and direction of expression changes of ...

Microarray experiments generate vast quantities of raw gene expression data, therefore good experimental design and statistical analysis is required.

Sep 3, 2015 · The microarray experiment is a multi-stage process in which the accuracy of each individual step may influence the gene expression estimates.

Motivation: A common objective of microarray experiments is the detection of differential gene expression between samples obtained under different conditions.

This article describes the types of studies that can be conducted with microarray experiments (class comparison, class prediction, class discovery).

This lesson will introduce you to using analysing gene expression experiments on microarrays using linear models of differential expression.

Microarrays can be used in many types of experiments including genotyping, epigenetics, translation profiling and gene expression profiling.

In this review I will endeavor to provide a general overview of the whole gene expression microarray data generation and analysis process.

A major challenge in DNA microarray analysis is to effectively dissociate actual gene expression values from experimental noise. We report here a detailed ...

A microarray is a laboratory tool used to detect the expression of thousands of genes at the same time. DNA microarrays are microscope slides that are ...