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...

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Detalles Bibliográficos
Autores principales: Pihur, Vasyl, Datta, Somnath, Datta, Susmita
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics 2011
Materias:
Prediction Model
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3089886/
https://www.ncbi.nlm.nih.gov/pubmed/21584188

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3089886/
https://www.ncbi.nlm.nih.gov/pubmed/21584188

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