bioRxiv / medRxiv
open access
Predicting Early MASLD-HCC from Serum N-Glycomics: A SHAP-Interpreted Gaussian Naive Bayes Model Built on nLC-HCD-PRM-MS/MS Profiling
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
- Plasma proteomic profiles predict chronic obstructive pulmonary disease up to 16 years before onset: a multi-national, machine learning-guided biomarker discovery study#4938
- Early Diagnosis of GDM by Multiomics#807965
- Effect of Metformin in Reducing Fatigue in Long COVID in Adolescents#146413
- PGx Study to Develop and Validate the Predictive Warfarin Dosing Algorithm for Personalized Warfarin Pharmacotherapy#1046749
- Explainable Plasma Proteomics-Based Machine Learning for Osteoporosis Diagnosis, Prognosis, and Protein Biomarker Discovery in the UK Biobank.#621048
Record · ID 651098
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