Hepatocellular carcinoma (HCC) is a major liver tumor (~ 80%), besides hepatoblastomas,
angiosarcomas, and cholangiocarcinomas. In this study, we used a systems biology …

We use a systems biology approach to construct protein‐protein interaction networks
(PPINs) for early and late stage bladder cancer. By comparing the networks of these two …

In recent years, high throughput technologies such as microarray platform have provided a
new avenue for hepatocellular carcinoma (HCC) investigation. Traditionally, gene sets …

Cancer is the leading cause of death worldwide and is generally caused by mutations in
multiple proteins or the dysregulation of pathways. Understanding the causes and the …

We performed weighted gene coexpression network analysis (WGCNA) to gain insights into
the molecular aspects of hepatocellular carcinoma (HCC). Raw microarray datasets …

Hepatocellular carcinoma (HCC) is the most common type of liver cancer worldwide and
one of the deadliest cancers in Asia. But at present, effective targets for HCC clinical therapy …

Liver cancer is one of the leading causes of cancer mortality worldwide. Hepatocellular
carcinoma (HCC) is the main type of liver cancer. We applied a machine learning approach …

Hepatocellular carcinoma (HCC) is the most frequent primary liver cancer, which has poor
outcome. The present study aimed to investigate the key genes implicated in the …

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

In this study, we mined out hepatocellular carcinoma (HCC) driver genes from MEDLINE
literatures by bioinformatics methods of pathway crosstalk and protein interaction network …