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Statistical Inference and Reverse Engineering of Gene Regulatory Networks from Observational Expression Data
In this paper, we present a systematic and conceptual overview of methods for inferring gene regulatory networks from observational gene expression data. Further, we discuss two classic approaches to infer causal structures and compare them with contemporary methods by providing a conceptual categor...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Frontiers Research Foundation
2012
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3271232/ https://ncbi.nlm.nih.gov/pubmed/22408642 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2012.00008 |
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