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Approximate inference of gene regulatory network models from RNA-Seq time series data
BACKGROUND: Inference of gene regulatory network structures from RNA-Seq data is challenging due to the nature of the data, as measurements take the form of counts of reads mapped to a given gene. Here we present a model for RNA-Seq time series data that applies a negative binomial distribution for...
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| Publié dans: | BMC Bioinformatics |
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| Auteur principal: | |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2018
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5896118/ https://ncbi.nlm.nih.gov/pubmed/29642837 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2125-2 |
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