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Relative Expression Analysis for Identifying Perturbed Pathways

The computational identification from global data sets of stable and predictive patterns of gene and protein relative expression reversals offers a simple, yet powerful approach to target therapies for personalized medicine and to identify pathways that are disease-perturbed. We previously utilized...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Eddy, James A., Geman, Donald, Price, Nathan D.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2009
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC2923586/
https://ncbi.nlm.nih.gov/pubmed/19964680
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/IEMBS.2009.5334063
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