# Integrating multi-omics and machine learning systematically deciphers cellular heterogeneity and fibrotic regulatory networks in the progression from MASLD to MASH

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/integrating-multi-omics-and-machine-learning-systematically-deciphers-cellular/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Weiheng Wen,Zenghui Liu,Wenliang Tan,Yingzheng Tan,Wei Li,Jian Wan,Hongsai Hu,Zheng Jiang,Xing Tang,Jing Yang,Jiao Xiao,Xiongjin Tan,Xun Chen,Peili Wu,Yukun Li |
| Citations | 5 |
| DOI | 10.1038/s41746-026-02352-8 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1038/s41746-026-02352-8 |
| OpenAlex ID | https://openalex.org/W7124422488 |
| PMID | 41545636 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Hongsai Hu](https://scholariq.org/researchers/hongsai-hu/)
- [Wenliang Tan](https://scholariq.org/researchers/wenliang-tan/)
- [Zheng Jiang](https://scholariq.org/researchers/zheng-jiang/)
- [Xing Tang](https://scholariq.org/researchers/xing-tang/)
- [Xun Chen](https://scholariq.org/researchers/xun-chen/)

## Paper funders

- [National Natural Science Foundation of China](https://scholariq.org/funders/national-natural-science-foundation-of-china/)
- [Natural Science Foundation of Hunan Province](https://scholariq.org/funders/natural-science-foundation-of-hunan-province/)

## Paper journal

- [npj Digital Medicine](https://scholariq.org/journals/npj-digital-medicine/)

## 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/)
- [Liver physiology and pathology](https://scholariq.org/topics/liver-physiology-and-pathology/)
- [Single-cell and spatial transcriptomics](https://scholariq.org/topics/single-cell-and-spatial-transcriptomics/)

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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.