Hepatocellular Carcinoma
About Hepatocellular Carcinoma
References
AI-Generated DeepDive2.0 disease introduction from most-cited PubMed Hepatocellular Carcinoma abstracts.
Hepatocellular Carcinoma-Gene Understudied Genes
The scatterplot uncovers disease genes that frequently appear in Hepatocellular Carcinoma sets, however have fewer publications compared to the rest of the disease genes. These understudied genes could be potentially investigated in the context of Hepatocellular Carcinoma to identify new targets and disease mechanisms.
Hepatocellular Carcinoma Gene Sets File
All the gene sets with set labels related to Hepatocellular Carcinoma are obtained from Ma'ayan Lab resources including Enrichr, RummaGEO, Rummagene and Geneshot. Original gene sets from disease sources (ClinVar, GWAS Catalog, DO and MONDO) if available for the specific liver disease are also included for download.
| Gene Sets | Unique Genes | Avg. Set Size |
|---|---|---|
| 0 | 0 | 0 |
Hepatocellular Carcinoma Report
A Hepatocellular Carcinoma report with abstract, introduction, results, methods, discussion, acknowledgements and references sections is built. In this report, the abstract, introduction and discussion sections are generated prompting the gpt-oss:120b model, while the other sections contain the findings for Hepatocellular Carcinoma. The report starts from the introduction section that goes in detail about Hepatocellular Carcinoma using the DeepDive2.0 pipeline. Followed by the results section that highlights the understudied genes for Hepatocellular Carcinoma predicted from gene sets and predicted from GSFM and also contains findings from the Differential Gene Expression (DGE) analysis of the GEO study. Finally, a graphical abstract for Hepatocellular Carcinoma report is generated using Gemini Nano Banana.