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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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שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:Proc Natl Acad Sci U S A
Main Authors: Rhodes, Daniel R., Yu, Jianjun, Shanker, K., Deshpande, Nandan, Varambally, Radhika, Ghosh, Debashis, Barrette, Terrence, Pandey, Akhilesh, Chinnaiyan, Arul M.
פורמט: Artigo
שפה:Inglês
יצא לאור: National Academy of Sciences 2004
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC438973/
https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/15184677/
https://ncbi.nlm.nih.govhttps://doi.org/10.1073/pnas.0401994101
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