Large-scale bulk and single-cell RNA sequencing combined with machine learning reveals glioblastoma-associated neutrophil heterogeneity and establishes a VEGFA+ neutrophil prognostic model

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Publication Details

Journal
Biology Direct
Published
2025-04-05
DOI
https://doi.org/10.1186/s13062-025-00640-z
Citations
10
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
8.06

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article

Large-scale bulk and single-cell RNA sequencing combined with machine learning reveals glioblastoma-associated neutrophil heterogeneity and establishes a VEGFA+ neutrophil prognostic model

Bohong Cen, Yufan Yang, Xiang Fu, Zhongyuan Xu et al.
10 citations
Biology Direct
Single-cell and spatial transcriptomics
8.06
article

Large-scale bulk and single-cell RNA sequencing combined with machine learning reveals glioblastoma-associated neutrophil heterogeneity and establishes a VEGFA+ neutrophil prognostic model

Bohong Cen, Yufan Yang, Xiang Fu, Zhongyuan Xu, Zhiyong Li, Jianlong Li, Zhongliang Wang, Ziyuan Liu
article en
10 citations

Abstract

No abstract available for this paper.
Biology DirectVol. 20(1)
Guangdong Pharmaceutical University (CN), National Medical Products Administration (CN), Nanfang Hospital (CN), Zhujiang Hospital (CN), National Center for Drug Screening (CN), Southern Medical University (CN)
National Natural Science Foundation of China, Guangdong Medical Research Foundation, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 2%
Single-cell and spatial transcriptomics
8.06
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Large-scale bulk and single-cell RNA sequencing combined with machine learning reveals glioblastoma-associated neutrophil heterogeneity and establishes a VEGFA+ neutrophil prognostic model — Bohong Cen, Yufan Yang, et al. · Biology Direct (2025) | TGRS Research Map | TGRS