A Gene Module-Based eQTL Analysis Prioritizing Disease Genes and Pathways in Kidney Cancer.

Yang, Mary Qu; Li, Dan; Yang, William; Zhang, Yifan; Liu, Jun; Tong, Weida

Yang, Mary Qu; Li, Dan; Yang, William; Zhang, Yifan; Liu, Jun; Tong, Weida.

Afiliação

Yang MQ; Joint Bioinformatics Graduate Program, Department of Information Science, George W. Donaghey College of Engineering and Information Technology, University of Arkansas at Little Rock, USA.
Li D; University of Arkansas for Medical Sciences, 2801 S. University Ave, Little Rock, AR 72204, USA.
Yang W; Joint Bioinformatics Graduate Program, Department of Information Science, George W. Donaghey College of Engineering and Information Technology, University of Arkansas at Little Rock, USA.
Zhang Y; University of Arkansas for Medical Sciences, 2801 S. University Ave, Little Rock, AR 72204, USA.
Liu J; School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA.
Tong W; Joint Bioinformatics Graduate Program, Department of Information Science, George W. Donaghey College of Engineering and Information Technology, University of Arkansas at Little Rock, USA.

Comput Struct Biotechnol J ; 15: 463-470, 2017.

Article em En | MEDLINE | ID: mdl-29158875

Palavras-chave

AUC, Area Under Curve; Causative mutation; DEG, Differentially expressed gene; DGM, Differential gene module; Gene module; KEGG, Kyoto Encyclopedia of Genes and Genomes; Pathways; Protein-protein interaction; RCC, Renal cell cancer; ROC, Receiver Operating Characteristic; SVM, Support vector machine; TCGA, The Cancer Genome Atlas; ccRCC; ccRCC, Clear cell renal cell carcinoma; eQTL; eQTL, Expression quantitative trait loci

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article