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Integration of Steady-State and Temporal Gene Expression Data for the Inference of Gene Regulatory Networks
We develop a new regression algorithm, cMIKANA, for inference of gene regulatory networks from combinations of steady-state and time-series gene expression data. Using simulated gene expression datasets to assess the accuracy of reconstructing gene regulatory networks, we show that steady-state and...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3743784/ https://ncbi.nlm.nih.gov/pubmed/23967277 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0072103 |
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