PubMed
open access
Immune-related biomarkers for major depressive disorder identified via integrated bioinformatics and 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
- Immune-related biomarkers for major depressive disorder identified via integrated bioinformatics and machine learning#4638
- Identification of Potential Key Biomarkers for Comorbid Depression and Obesity Through Integrated Bioinformatics Analysis and Experimental Verification.#1068711
- Identifying Immunological Biomarkers for Major Depressive Disorder: Insights From Machine Learning, Single-Nucleus Bioinformatics, and Experimental Validation.#3905
- Integrative analysis via bioinformatics and machine learning identifies SERPING1 as a biomarker candidate for major depressive disorder.#14970
- Modulation of the microbiota-lipid-brain axis by modified Chaihu-Longgu-Muli Decoction ameliorates chronic stress-induced depression.#375118
Record · ID 9715
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