SOM Analysis Results of the Peripheral Blood Transcriptome
Version 1

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.

LHA ID: 7RU7E8N3NU-2

Data file type: SOM Data

Human Diseases: No Human Disease specified




help Creators and Submitter
Activity

Views: 3487

Created: 20th May 2019 at 13:16

Last updated: 20th May 2019 at 13:16

Last used: 28th Mar 2024 at 12:59

help Attributions

None

Version History

Version 1 Created 20th May 2019 at 13:16 by Christoph Beger

No revision comments

Powered by
(v.1.13.0-master)
Copyright © 2008 - 2021 The University of Manchester and HITS gGmbH
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig

By continuing to use this site you agree to the use of cookies