Data-driven characterization of molecular phenotypes across heterogeneous sample collections

Existing large gene expression data repositories hold enormous potential to elucidate disease mechanisms, characterize changes in cellular pathways, and to stratify patients based on molecular profiles. To achieve this goal, integrative resources and tools are needed that allow comparison of results...

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Detalles Bibliográficos
Autores principales: Mehtonen, Juha, Pölönen, Petri, Häyrynen, Sergei, Dufva, Olli, Lin, Jake, Liuksiala, Thomas, Granberg, Kirsi, Lohi, Olli, Hautamäki, Ville, Nykter, Matti, Heinäniemi, Merja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6648337/
https://www.ncbi.nlm.nih.gov/pubmed/31329928
http://dx.doi.org/10.1093/nar/gkz281

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6648337/
https://www.ncbi.nlm.nih.gov/pubmed/31329928
http://dx.doi.org/10.1093/nar/gkz281

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