Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression

Many studies have used DNA microarrays to identify the gene expression signatures of human cancer, yet the critical features of these often unmanageably large signatures remain elusive. To address this, we developed a statistical method, comparative metaprofiling, which identifies and assesses the i...

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Autori principali: Rhodes, Daniel R., Yu, Jianjun, Shanker, K., Deshpande, Nandan, Varambally, Radhika, Ghosh, Debashis, Barrette, Terrence, Pandey, Akhilesh, Chinnaiyan, Arul M.
Natura: Artigo
Lingua:Inglês
Pubblicazione: National Academy of Sciences 2004
Soggetti:
Biological Sciences
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC438973/
https://ncbi.nlm.nih.gov/pubmed/15184677
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0401994101
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