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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Detalles Bibliográficos
Autores principales: Han, Yuping, Jin, Xuefei, Li, Hongyan, Wang, Kaichen, Gao, Ji, Song, Lide, Lv, Yanting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2017
Materias:
7300
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5515741/
https://www.ncbi.nlm.nih.gov/pubmed/28700469
http://dx.doi.org/10.1097/MD.0000000000007264

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5515741/
https://www.ncbi.nlm.nih.gov/pubmed/28700469
http://dx.doi.org/10.1097/MD.0000000000007264

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