Modeling Gene Regulation in Liver Hepatocellular Carcinoma with Random Forests
Author
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-12
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Liver hepatocellular carcinoma (HCC) remains a leading cause of cancer-related death.
Poor understanding of the mechanisms underlying HCC prevents early detection and leads to high mortality.
We developed a random forest model that incorporates copy-number variation, DNA methylation, transcription factor, and microRNA binding information as features to predict gene expression in HCC.
Our model achieved a highly significant correlation between predicted and measured expression of held-out genes.
Furthermore, we identified potential regulators of gene expression in HCC.
Many of these regulators have been previously found to be associated with cancer and are differentially expressed in HCC.
We also evaluated our predicted target sets for these regulators by making comparison with experimental results.
Lastly, we found that the transcription factor E2F6, one of the candidate regulators inferred by our model, is predictive of survival rate in HCC.
Results of this study will provide directions for future prospective studies in HCC.
American Psychological Association (APA)
Kazan, Hilal. 2016. Modeling Gene Regulation in Liver Hepatocellular Carcinoma with Random Forests. BioMed Research International،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1096811
Modern Language Association (MLA)
Kazan, Hilal. Modeling Gene Regulation in Liver Hepatocellular Carcinoma with Random Forests. BioMed Research International No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1096811
American Medical Association (AMA)
Kazan, Hilal. Modeling Gene Regulation in Liver Hepatocellular Carcinoma with Random Forests. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1096811
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1096811