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Data Reduction Approaches for Dissecting Transcriptional Effects on Metabolism
The availability of high-throughput data from transcriptomics and metabolomics technologies provides the opportunity to characterize the transcriptional effects on metabolism. Here we propose and evaluate two computational approaches rooted in data reduction techniques to identify and categorize tra...
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| Publicat a: | Front Plant Sci |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5920133/ https://ncbi.nlm.nih.gov/pubmed/29731765 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpls.2018.00538 |
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