Identifying therapeutic targets by combining transcriptional data with ordinal clinical measurements

The immense and growing repositories of transcriptional data may contain critical insights for developing new therapies. Current approaches to mining these data largely rely on binary classifications of disease vs. control, and are not able to incorporate measures of disease severity. We report an a...

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Detalles Bibliográficos
Autores principales: Pirhaji, Leila, Milani, Pamela, Dalin, Simona, Wassie, Brook T., Dunn, Denise E., Fenster, Robert J., Avila-Pacheco, Julian, Greengard, Paul, Clish, Clary B., Heiman, Myriam, Lo, Donald C., Fraenkel, Ernest
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606996/
https://www.ncbi.nlm.nih.gov/pubmed/28931805
http://dx.doi.org/10.1038/s41467-017-00353-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606996/
https://www.ncbi.nlm.nih.gov/pubmed/28931805
http://dx.doi.org/10.1038/s41467-017-00353-6

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