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Cancer Genetic Network Inference Using Gaussian Graphical Models
The Cancer Genome Atlas (TCGA) provides a rich resource that can be used to understand how genes interact in cancer cells and has collected RNA-Seq gene expression data for many types of human cancer. However, mining the data to uncover the hidden gene-interaction patterns remains a challenge. Gauss...
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| Veröffentlicht in: | Bioinform Biol Insights |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
SAGE Publications
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6456846/ https://ncbi.nlm.nih.gov/pubmed/31007526 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1177932219839402 |
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