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Meta analysis of Chronic Fatigue Syndrome through integration of clinical, gene expression, SNP and proteomic data
We start by constructing gene-gene association networks based on about 300 genes whose expression values vary between the groups of CFS patients (plus control). Connected components (modules) from these networks are further inspected for their predictive ability for symptom severity, genotypes of tw...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Biomedical Informatics
2011
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3089886/ https://www.ncbi.nlm.nih.gov/pubmed/21584188 |