NCBI PubMed Central
open access
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.
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
- SCSEQ: A web tool for analyzing single-cell RNA-seq data.#157914
- A latent factor framework to organize regulatory and metabolic programs inferred from scRNA-seq.#412164
- ANLN: A New Hub in Glutamine Metabolism of Lung Adenocarcinoma by scRNA-Seq and Machine Learning.#402577
- Utilising Machine Learning and Single-Cell Analysis to Uncover SKCM Metastasis-Related Genes.#3732
- Revisiting co-expression-based automated function prediction in yeast with neural networks and updated Gene Ontology annotations.#28235
Record · ID 613391
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