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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...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Τόπος έκδοσης:Proc Natl Acad Sci U S A
Κύριοι συγγραφείς: Rhodes, Daniel R., Yu, Jianjun, Shanker, K., Deshpande, Nandan, Varambally, Radhika, Ghosh, Debashis, Barrette, Terrence, Pandey, Akhilesh, Chinnaiyan, Arul M.
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: National Academy of Sciences 2004
Θέματα:
Διαθέσιμο Online: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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