# MVPHI: a multi-view learning framework for predicting complex microbial interactions

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/mvphi-a-multi-view-learning-framework-for-predicting-complex-microbial/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yun Xie,Jie Pan,Dan Li,Qi Wang,Yanmei Sun,Shiwei Wang |
| Citations | 1 |
| DOI | 10.1038/s41598-025-32359-2 |
| Fields | Biochemistry, Genetics and Molecular Biology,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41598-025-32359-2_reference.pdf |
| OpenAlex ID | https://openalex.org/W7117470543 |
| PMID | 41461857 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Yun Xie](https://scholariq.org/researchers/yun-xie/)

## Paper journal

- [Scientific Reports](https://scholariq.org/journals/scientific-reports/)

## Paper primary topic

- [Machine Learning in Bioinformatics](https://scholariq.org/topics/machine-learning-in-bioinformatics/)

## Paper topics

- [Machine Learning in Bioinformatics](https://scholariq.org/topics/machine-learning-in-bioinformatics/)
- [Bacteriophages and microbial interactions](https://scholariq.org/topics/bacteriophages-and-microbial-interactions/)
- [Bioinformatics and Genomic Networks](https://scholariq.org/topics/bioinformatics-and-genomic-networks/)

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