# Machine learning analysis reveals tumor heterogeneity and stromal-immune niches in breast cancer

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/machine-learning-analysis-reveals-tumor-heterogeneity-and-stromal-immune-niches/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Junjie Kuang,Guo-Fang Zhong,Linfeng Zhao,Xia Yuan,Yundong Zhou,Jun Li |
| Citations | 18 |
| DOI | 10.1038/s41746-025-01967-7 |
| Fields | Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41746-025-01967-7.pdf |
| OpenAlex ID | https://openalex.org/W4413903686 |
| PMID | 40897851 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Junjie Kuang](https://scholariq.org/researchers/junjie-kuang/)

## Paper journal

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

## Paper primary topic

- [Cancer Immunotherapy and Biomarkers](https://scholariq.org/topics/cancer-immunotherapy-and-biomarkers/)

## Paper topics

- [Cancer Immunotherapy and Biomarkers](https://scholariq.org/topics/cancer-immunotherapy-and-biomarkers/)
- [Cancer Cells and Metastasis](https://scholariq.org/topics/cancer-cells-and-metastasis/)
- [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.