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Integration of Multiple Data Sources for Gene Network Inference Using Genetic Perturbation Data
The inference of gene networks from large-scale human genomic data is challenging due to the difficulty in identifying correct regulators for each gene in a high-dimensional search space. We present a Bayesian approach integrating external data sources with knockdown data from human cell lines to in...
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| Publicado no: | J Comput Biol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Mary Ann Liebert, Inc., publishers
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6786343/ https://ncbi.nlm.nih.gov/pubmed/31009236 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/cmb.2019.0036 |
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