Large-scale bulk and single-cell RNA sequencing combined with machine learning reveals glioblastoma-associated neutrophil heterogeneity and establishes a VEGFA+ neutrophil prognostic model
Basic and Applied Basic Research Foundation of Guangdong Province
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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.
Citations
10 citations
Journal
Biology Direct
Topics
Single-cell and spatial transcriptomics
Field-Weighted Citation Impact (FWCI)
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
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)
Funders
National Natural Science Foundation of China, Guangdong Medical Research Foundation, Basic and Applied Basic Research Foundation of Guangdong Province
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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