Cargando…
Modeling Gene Regulation in Liver Hepatocellular Carcinoma with Random Forests
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 f...
Autor principal: | Kazan, Hilal |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080476/ https://www.ncbi.nlm.nih.gov/pubmed/27818995 http://dx.doi.org/10.1155/2016/1035945 |
Ejemplares similares
-
Inferring RBP-Mediated Regulation in Lung Squamous Cell Carcinoma
por: Lafzi, Atefeh, et al.
Publicado: (2016) -
Construction and Analysis of Hepatocellular Carcinoma Prognostic Model Based on Random Forest
por: Wang, Yikai, et al.
Publicado: (2023) -
Random-forest algorithm based biomarkers in predicting prognosis in the patients with hepatocellular carcinoma
por: Guo, Lingyun, et al.
Publicado: (2020) -
A Novel Hepatocellular Carcinoma Image Classification Method Based on Voting Ranking Random Forests
por: Xia, Bingbing, et al.
Publicado: (2016) -
Ranking cancer drivers via betweenness-based outlier detection and random walks
por: Erten, Cesim, et al.
Publicado: (2021)