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Microarray analysis of copy-number variations and gene expression profiles in prostate cancer
BACKGROUND: This study aimed to identify potential prostate cancer (PC)-related variations in gene expression profiles. METHODS: Microarray data from the GSE21032 dataset that contained the whole-transcript and exon-level expression profile (GSE21034) and Agilent 244K array-comparative genomic hybri...
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| Publicado no: | Medicine (Baltimore) |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wolters Kluwer Health
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5515741/ https://ncbi.nlm.nih.gov/pubmed/28700469 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/MD.0000000000007264 |
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