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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Main Authors: Rhodes, Daniel R., Yu, Jianjun, Shanker, K., Deshpande, Nandan, Varambally, Radhika, Ghosh, Debashis, Barrette, Terrence, Pandey, Akhilesh, Chinnaiyan, Arul M.
Format: Artigo
Jezik:Inglês
Izdano: National Academy of Sciences 2004
Teme:
Biological Sciences
Online dostop: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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