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Predicting Disease-Related Subnetworks for Type 1 Diabetes Using a New Network Activity Score
In this study we investigated the advantage of including network information in prioritizing disease genes of type 1 diabetes (T1D). First, a naïve Bayesian network (NBN) model was developed to integrate information from multiple data sources and to define a T1D-involvement probability score (PS) fo...
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| Asıl Yazarlar: | , , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Mary Ann Liebert, Inc.
2012
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3459426/ https://ncbi.nlm.nih.gov/pubmed/22917479 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/omi.2012.0029 |
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