Extracting a low-dimensional description of multiple gene expression datasets reveals a potential driver for tumor-associated stroma in ovarian cancer

Patterns in expression data conserved across multiple independent disease studies are likely to represent important molecular events underlying the disease. We present the INSPIRE method to infer modules of co-expressed genes and the dependencies among the modules from multiple expression datasets t...

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Detalles Bibliográficos
Autores principales: Celik, Safiye, Logsdon, Benjamin A., Battle, Stephanie, Drescher, Charles W., Rendi, Mara, Hawkins, R. David, Lee, Su-In
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4902951/
https://www.ncbi.nlm.nih.gov/pubmed/27287041
http://dx.doi.org/10.1186/s13073-016-0319-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4902951/
https://www.ncbi.nlm.nih.gov/pubmed/27287041
http://dx.doi.org/10.1186/s13073-016-0319-7

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