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Optimal design of gene knockout experiments for gene regulatory network inference
Motivation: We addressed the problem of inferring gene regulatory network (GRN) from gene expression data of knockout (KO) experiments. This inference is known to be underdetermined and the GRN is not identifiable from data. Past studies have shown that suboptimal design of experiments (DOE) contrib...
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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4803391/ https://ncbi.nlm.nih.gov/pubmed/26568633 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv672 |
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