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Robust identification of transcriptional regulatory networks using a Gibbs sampler on outlier sum statistic
Motivation: Identification of transcriptional regulatory networks (TRNs) is of significant importance in computational biology for cancer research, providing a critical building block to unravel disease pathways. However, existing methods for TRN identification suffer from the inclusion of excessive...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Oxford University Press
2012
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3400952/ https://ncbi.nlm.nih.gov/pubmed/22595208 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bts296 |
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