SOM analysis of the peripheral blood transcriptome

LHA-ID
7RU7E8N3NU-2
Description

We present an extensive and detailed study on the gene expression landscape of peripheral blood of healthy individuals based on transcriptome data of 3,388 individuals screened in the population study LIFE between 2011 and 2014. For analysis we applied a neural network technique using self-organizing maps (SOM). Our home-made R-program ‘oposSOM’ enables to reduce the dimension of expression data from tens of thousands of genes to a few thousand ‘meta-genes’ and generates portraits of transcriptional activity that allowed us the sample-to-sample comparison of expression patterns.

Contributors
Contact
Dr. Henry Löffler-Wirth
Contact Institution

IZBI Härtelstr. 16-18 04107 Leipzig

Contact eMail
wirth@izbi.uni-leipzig.de
Sample Type
Data Level
Expression data
Analysis Type
Sample Size
3388