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Inferring gene regulatory networks from asynchronous microarray data with AIRnet
BACKGROUND: Modern approaches to treating genetic disorders, cancers and even epidemics rely on a detailed understanding of the underlying gene signaling network. Previous work has used time series microarray data to infer gene signaling networks given a large number of accurate time series samples....
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| Autori principali: | , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2010
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2975420/ https://ncbi.nlm.nih.gov/pubmed/21047387 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-11-S2-S6 |
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