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Making sense out of massive data by going beyond differential expression

With the rapid growth of publicly available high-throughput transcriptomic data, there is increasing recognition that large sets of such data can be mined to better understand disease states and mechanisms. Prior gene expression analyses, both large and small, have been dichotomous in nature, in whi...

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Détails bibliographiques
Auteurs principaux: Schmid, Patrick R., Palmer, Nathan P., Kohane, Isaac S., Berger, Bonnie
Format: Artigo
Langue:Inglês
Publié: National Academy of Sciences 2012
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC3326474/
https://ncbi.nlm.nih.gov/pubmed/22447773
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1118792109
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