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

Link: https://www.health-atlas.de/som_browser/201611_LIFE_Transcriptome/Summary.html

Data file type: SOM Data

Human Diseases: No Human Disease specified

Help

Tree Split Graph

Creators and Submitter

Creator

Henry Löffler-Wirth

Submitter

Christoph Beger

License

Creative Commons Attribution 4.0

Activity

Views: 4069

Created: 20th May 2019 at 13:16

Last updated: 20th May 2019 at 13:16

Last used: 31st Oct 2024 at 23:09

Version History

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

No revision comments

Navigate

Health Atlas - Local Data Hub/Leipzig

The Health Atlas - Local Data Hub/Leipzig is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields.

Registered Repository

(v.1.13.0-master)

SOM Analysis Results of the Peripheral Blood Transcriptome Version 1