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Dramatic reduction of dimensionality in large biochemical networks owing to strong pair correlations
Large multi-dimensionality of high-throughput datasets pertaining to cell signalling and gene regulation renders it difficult to extract mechanisms underlying the complex kinetics involving various biochemical compounds (e.g. proteins and lipids). Data-driven models often circumvent this difficulty...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
The Royal Society
2012
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3385761/ https://ncbi.nlm.nih.gov/pubmed/22378749 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2011.0896 |
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