Background Identifying perturbed pathways in a given condition is crucial in understanding
biological phenomena. In addition to identifying perturbed pathways individually, pathway …

Currently, using human prostate cancer (PCa) tissue samples to conduct proteomics
research has generated a large amount of data; however, only a very small amount has …

Identifying effective biomarkers to battle complex diseases is an important but challenging
task in biomedical research today. Molecular data of complex diseases is increasingly …

Background Defective tumor suppressor genes (TSGs) and hyperactive oncogenes (OCGs)
heavily contribute to cell proliferation and apoptosis during cancer development through …

Background Gene expression has been used to identify disease gene biomarkers, but there
are ongoing challenges. Single gene or gene-set biomarkers are inadequate to provide …

The objective of the present study is to identify significant genes and pathways associated
with hepatocellular carcinoma (HCC) by systematically tracking the dysregulated modules of …

Biological data at the omics level are highly complex, requiring powerful computational
approaches to identifying significant intrinsic characteristics to further search for informative …

Our goal of this study was to reconstruct a “genome-scale co-expression network” and find
important modules in lung adenocarcinoma so that we could identify the genes involved in …

The discovery of novel cancer genes is one of the main goals in cancer research.
Bioinformatics methods can be used to accelerate cancer gene discovery, which may help in …

Background Protein-protein, cell signaling, metabolic, and transcriptional interaction
networks are useful for identifying connections between lists of experimentally identified …