Cargando…
Key regulators in prostate cancer identified by co-expression module analysis
BACKGROUND: Prostate cancer (PrCa) is the most commonly diagnosed cancer in men in the world. Despite the fact that a large number of its genes have been investigated, its etiology remains poorly understood. Furthermore, most PrCa candidate genes have not been rigorously replicated, and the methods...
Autores principales: | Jiang, Junfeng, Jia, Peilin, Zhao, Zhongming, Shen, Bairong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4258300/ https://www.ncbi.nlm.nih.gov/pubmed/25418933 http://dx.doi.org/10.1186/1471-2164-15-1015 |
Ejemplares similares
-
Top associated SNPs in prostate cancer are significantly enriched in cis-expression quantitative trait loci and at transcription factor binding sites
por: Jiang, Junfeng, et al.
Publicado: (2014) -
Discovery and characterization of long intergenic non-coding RNAs (lincRNA) module biomarkers in prostate cancer: an integrative analysis of RNA-Seq data
por: Cui, Weirong, et al.
Publicado: (2015) -
Integrative pathway analysis of genome-wide association studies and gene expression data in prostate cancer
por: Jia, Peilin, et al.
Publicado: (2012) -
An Integrative Transcriptomic and Methylation Approach for Identifying Differentially Expressed Circular RNAs Associated with DNA Methylation Change
por: Xu, Tianyi, et al.
Publicado: (2021) -
Convergent roles of de novo mutations and common variants in schizophrenia in tissue-specific and spatiotemporal co-expression network
por: Jia, Peilin, et al.
Publicado: (2018)