Hepatitis C
About Hepatitis C
References
AI-Generated DeepDive2.0 disease introduction from most-cited PubMed Hepatitis C abstracts.
Hepatitis C-Gene Understudied Genes
The scatterplot uncovers disease genes that frequently appear in Hepatitis C sets, however have fewer publications compared to the rest of the disease genes. These understudied genes could be potentially investigated in the context of Hepatitis C to identify new targets and disease mechanisms.
Hepatitis C Gene Sets File
All the gene sets with set labels related to Hepatitis C 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 |
Hepatitis C Report
A Hepatitis C 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 Hepatitis C. The report starts from the introduction section that goes in detail about Hepatitis C using the DeepDive2.0 pipeline. Followed by the results section that highlights the understudied genes for Hepatitis C 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 Hepatitis C report is generated using Gemini Nano Banana.