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Semi-supervised network inference using simulated gene expression dynamics
MOTIVATION: Inferring the structure of gene regulatory networks from high-throughput datasets remains an important and unsolved problem. Current methods are hampered by problems such as noise, low sample size, and incomplete characterizations of regulatory dynamics, leading to networks with missing...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6455938/ https://ncbi.nlm.nih.gov/pubmed/29186340 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btx748 |
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