NCBI PubMed Central
open access
Big data analytics for CLEC5A dynamics based on single cell genomics and proteomics reveal its diverse functions in human diseases.
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
- Utilising Machine Learning and Single-Cell Analysis to Uncover SKCM Metastasis-Related Genes.#3732
- scHILL: deciphering individual-level immune cell heterogeneity with single-cell RNA sequencing data.#288710
- Tn5Prime, a Tn5 based 5′ capture method for single cell RNA-seq#492108
- An end-to-end transformer based approach for disease prediction from metagenomic data#218228
- Integrative analysis of scRNA-seq and bulk RNA-seq with machine learning develops a nucleotide metabolism-based prognostic model for ccRCC and reveals the function of IFI30.#613391
Record · ID 653383
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