Background: Hepatitis B Virus (HBV) infection is a global public health problem. After
infection, patients experience a natural course from chronic hepatitis to cirrhosis and even …

Identifying candidate disease genes is important to improve medical care. However, this task
is challenging in the post-genomic era. Several computational approaches have been …

With the continuing development and improvement of genome-wide techniques, a great
number of candidate genes are discovered. How to identify the most likely disease genes …

Hepatitis B virus (HBV) and hepatitis C virus (HCV) infection are the major causes of chronic
liver disease, cirrhosis and hepatocellular carcinoma (HCC). The resolution or chronicity of …

With the advances in gene sequencing technologies, millions of somatic mutations have
been reported in the past decades, but mining cancer driver genes with oncogenic …

Background Hepatocellular carcinoma (HCC) is one of the most common types of cancer
worldwide. Despite several efforts to elucidate molecular mechanisms involved in this …

Background Cancer is a complex disease. So far, many genes have been reported to
involve in the development of cancer. Rather than the traditional approach to studying …

Background Hepatocellular carcinoma (HCC) is a type of primary liver tumor with poor
prognosis and high mortality, and its molecular mechanism remains incompletely …

As a complex disease, the development and progression of hepatocellular carcinoma (HCC)
involves the interactions of multiple proteins, genes and miRNAs in various biological …

The weighted gene co-expression network analysis (WGCNA) method constructs co-
expressed gene modules based on the linear similarity between paired gene expressions …