PLOS
open access
CC BY 4.0
Integrated cross-organ transcriptomic analysis uncovers conserved gene signatures predictive of allograft rejection
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
- Integrated cross-organ transcriptomic analysis uncovers conserved gene signatures predictive of allograft rejection.#148172
- Genomic Feature Transformation for Multi-Omics Integration in Clinical Prediction Models#651090
- Immune Infiltration-Related Genes as Potential Biomarkers and Predicted Targets for Renal Allograft Delayed Graft Function and Survival Outcome: An Integrated Machine Learning Approach and Drugs Analysis.#275445
- Pretraining Enhances Megabase-Scale Gene Expression Prediction with GeneUnet#1006957
- Pan-tissue transcriptomic profiling of dairy cattle.#280985
Record · ID 146541
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