Low Entropy Sub-Networks Prevent the Integration of Metabolomic and Transcriptomic Data

The constantly and rapidly increasing amount of the biological data gained from many different high-throughput experiments opens up new possibilities for data- and model-driven inference. Yet, alongside, emerges a problem of risks related to data integration techniques. The latter are not so widely...

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Detalles Bibliográficos
Autores principales: Gogolewski, Krzysztof, Kostecki, Marcin, Gambin, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712986/
https://www.ncbi.nlm.nih.gov/pubmed/33287006
http://dx.doi.org/10.3390/e22111238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712986/
https://www.ncbi.nlm.nih.gov/pubmed/33287006
http://dx.doi.org/10.3390/e22111238

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