Software for the Identification, Analysis and Visualisation of Outlier Genes in Microarray Expression Data
This software implements an outlier detection strategy that was developed to identify variants at the level of gene transcription that are of potential biological and phenotypic importance.
The software provides a user friendly interface that enables identification of gross abnormalities in gene expression (outliers) in individuals with complex disorders, using whole genome microarray data.
Mean and standard deviation of expression in a healthy control cohort is used to detect both over and under-expressed probes in individual samples.
The software is implemented using R and java on the Windows OS.
Installation instructions, sample datasets, executables, source code, a user guide and other technical information are provided with the software - see below.
- Download the software, sample data files and documentation for installing and running the software on Windows (pdf)