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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
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 |
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