NCBI PubMed Central
open access
Identification and Experimental Validation of Key Lipid Metabolism-Related Genes in Intracerebral Hemorrhage Based on Machine Learning.
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-Guided Multi-Omics Integration Identifies UGCG as a Candidate Lipid Metabolic Biomarker and Potential Therapeutic Target in Sepsis.#1134527
- Diagnosis of Blood Cells Using Deep Learning#744562
- Deep learning applied to cancer prostate histology slides : diagnosis, prediction of bio-chemical recurrence and genetic mutations#179409
- Integrating Serum Lipid Biomarkers Into Machine Learning for the Differential Diagnosis of Breast Nodules.#479257
- An Accurate and Interpretable Hyper Graph Neural Network for GBM Survival Prediction#1051581
Record · ID 442879
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