PLOS
open access
CC BY 4.0
Single-cell RNA-seq and machine learning identify HMGN2 as a lactylation-associated hub gene in heart failure
Heart failure (HF) is a diverse condition characterized by dysregulated lactate metabolism and histone lactylation, which may contribute to maladaptive cardiac remodeling. However, the cell type-specific mechanisms underlying these processes remain poorly understood. To address this gap, we integra
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
- HMOX2-driven crosstalk between vascular aging and heart failure: A multimodal bioinformatics and explainable machine learning approach with experimental validation#928027
- Single-cell transcriptomics reveals the impact of sex and age in the healthy human liver.#125397
- Transcriptomic characterization of key psoriasis-associated genes based on single-cell RNA-seq and machine learning#365147
- HSTXGB: a hyperparameter self-tuning XGBoost method integrating pre- and post-processing for gene regulatory network inference.#1001052
- Supporting data for: Multi-tissue mRNA-seq, miRNA-seq and single-cell RNA-seq data from heat-stressed lactating Holstein cows#384347
Record · ID 1040236
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