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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |