Ontology highlight
ABSTRACT:
SUBMITTER: Tu J
PROVIDER: S-EPMC7873308 | biostudies-literature | 2021 Feb
REPOSITORIES: biostudies-literature
Scientific reports 20210209 1
Exploring the underlying mechanisms of cancer development is useful for cancer treatment. In this paper, we analyzed the transcriptome profiles from the human normal pancreas, pancreatitis, pancreatic cancer and metastatic pancreatic cancer to study the intricate associations among pancreatic cancer progression. We clustered the transcriptome data, and analyzed the differential expressed genes. WGCNA was applied to construct co-expression networks and detect important modules. Importantly we sel ...[more]