NCBI PubMed Central
open access
Multi-Omics and Molecular Simulation Identify KIF11 as a Candidate Direct Target of Resveratrol in Hepatocellular Carcinoma.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Machine Learning Models for Disease-Free Survival Analysis after Liver Resection for Hepatocellular Carcinoma: A Multicentric French Collaborative Study#308231
- Prediction of Ki-67 expression in hepatocellular carcinoma: a dual-center study based on T2-weighted imaging habitat analysis.#319105
- Characterization of human isogenic epithelial cell lines as a relevant tool to study colon carcinogenesis and interactions between genes and environment#330339
- Analysis of Expression of Specific Markers and Their Prognostic Significance in Hepatocellular Carcinoma#121334
- Image 8_A comprehensive study based on large-sample multi-omics integration and machine learning to decode mitochondria-associated genes: from digestive tract tumours to gastric cancer.jpeg#342085
Record · ID 625945
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive