NCBI PubMed Central
open access
A systematic transcriptomic atlas and predictive framework for metabolite-driven T cell state transitions.
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
- A Novel Topology-Based Candidate Reaction Prediction Approach for Gap-Fillings of Genome-Scale Metabolic Models.#140761
- Translating transcriptomics analysis into diagnostic workflows: clinical variant identification and interpretation in hypothesis-driven and hypothesis-free approaches.#262974
- Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research#6479
- Transfer Learning of Supervised Sequence to Function Models Enables Cell Type Specific Regulatory Sequence Prediction in Kidney#616081
- Hierarchical classification of immune cell transcriptomes at population-scale#383442
Record · ID 1166949
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