NCBI PubMed Central
open access
Integrative Single-Cell and Machine Learning Analysis Identifies an EMT-Associated Prognostic Signature for Papillary Thyroid Cancer.
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.
Checking your browser before accessing pmc.ncbi.nlm.nih.gov ... Click here if you are not automatically redirected after 5 seconds.
Related documents
- Single cell multiomics unravel the transcription networks controlling the different EMT tumor states#161734
- Single cell multiomics unravel the transcription networks controlling the different EMT tumor states#157971
- Systematic identification of pan-cancer single-gene expression biomarkers in drug high-throughput screens.#174494
- Systematic identification of pan-cancer single-gene expression biomarkers in drug high-throughput screens#172201
- Mitochondrial gene expression-based model for the prediction of thyroid cancer prognosis.#395976
Record · ID 3762 · SHA-256 bc67d51ecf5c0cde
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