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Gene network inference by fusing data from diverse distributions
Motivation: Markov networks are undirected graphical models that are widely used to infer relations between genes from experimental data. Their state-of-the-art inference procedures assume the data arise from a Gaussian distribution. High-throughput omics data, such as that from next generation sequ...
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| Publicado en: | Bioinformatics |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Oxford University Press
2015
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4542780/ https://ncbi.nlm.nih.gov/pubmed/26072487 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btv258 |
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