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Recovering Genetic Regulatory Networks from Chromatin Immunoprecipitation and Steady-State Microarray Data
Recent advances in high-throughput DNA microarrays and chromatin immunoprecipitation (ChIP) assays have enabled the learning of the structure and functionality of genetic regulatory networks. In light of these heterogeneous data sets, this paper proposes a novel approach for reconstruction of geneti...
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| Huvudupphovsmän: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Springer
2008
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3171391/ https://ncbi.nlm.nih.gov/pubmed/18584039 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2008/248747 |
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