A prognostic prediction system for hepatocellular carcinoma based on gene co‑expression network
نویسندگان
چکیده
منابع مشابه
Analysis of Prognostic Factors for Survival after Hepatectomy for Hepatocellular Carcinoma Based on a Bayesian Network
BACKGROUND The prognosis of hepatocellular carcinoma (HCC) after hepatectomy involves many factors. Previous studies have evaluated the separate influences of single factors; few have considered the combined influence of various factors. This paper combines the Bayesian network (BN) with importance measures to identify key factors that have significant effects on survival time. METHODS A data...
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Hepatocellular carcinoma (HCC) is the 5th commonest malignancy worldwide and is the third most common cause of cancer-related death. The prevalence is different in the world. The ability to predict patients at higher risk of recurrence and with a poor prognosis would help to guide surgical and chemotherapeutic treatment according to individual risk. As understanding of hepatocarcinogenesi...
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Screening disease-related genes by analyzing gene expression data has become a popular theme. Traditional disease-related gene selection methods always focus on identifying differentially expressed gene between case samples and a control group. These traditional methods may not fully consider the changes of interactions between genes at different cell states and the dynamic processes of gene ex...
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ژورنال
عنوان ژورنال: Experimental and Therapeutic Medicine
سال: 2019
ISSN: 1792-0981,1792-1015
DOI: 10.3892/etm.2019.7494