# Analysis of machine learning based integration to identify the crosslink between inflammation and immune response in non-alcoholic fatty liver disease through bioinformatic analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/analysis-of-machine-learning-based-integration-to-identify-the-crosslink-between/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Runzhi Yu,Yiqin Huang,Xiaona Hu,Jie Chen |
| Citations | 5 |
| DOI | 10.1016/j.heliyon.2024.e32783 |
| Fields | Immunology and Microbiology,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.heliyon.2024.e32783 |
| OpenAlex ID | https://openalex.org/W4400156283 |
| PMID | 39108890 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Runzhi Yu](https://scholariq.org/researchers/runzhi-yu/)

## Paper journal

- [Heliyon](https://scholariq.org/journals/heliyon/)

## Paper primary topic

- [Liver Disease Diagnosis and Treatment](https://scholariq.org/topics/liver-disease-diagnosis-and-treatment/)

## Paper topics

- [Liver Disease Diagnosis and Treatment](https://scholariq.org/topics/liver-disease-diagnosis-and-treatment/)
- [Biomarkers in Disease Mechanisms](https://scholariq.org/topics/biomarkers-in-disease-mechanisms/)
- [Ferroptosis and cancer prognosis](https://scholariq.org/topics/ferroptosis-and-cancer-prognosis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.