Yuekun Wang

Machine learning revealed stemness features and a novel stemness-based classification with appealing implications in discriminating the prognosis, immunotherapy and temozolomide responses of 906 glioblastoma patients

Zihao Wang, Yaning Wang, Tianrui Yang et al. · Briefings in Bioinformatics · 2021 · 156 citations · Full text

Medicine, Bioinformatics, Oncology +15

A convenient and efficient protocol for isolating high-quality RNA from latex of Hevea brasiliensis (para rubber tree)

Chaorong Tang, Jiyan Qi, Heping Li et al. · Journal of Biochemical and Biophysical Methods · 2007 · 108 citations

Life Sciences, Microbiology, Molecular Biology +6

Histological and molecular glioblastoma, IDH-wildtype: a real-world landscape using the 2021 WHO classification of central nervous system tumors

Xiaopeng Guo, Lingui Gu, Yilin Li et al. · Frontiers in Oncology · 2023 · 78 citations · Full text

Medicine, Neurology, Oncology +17

Single-cell transcriptomic analyses provide insights into the cellular origins and drivers of brain metastasis from lung adenocarcinoma

Zihao Wang, Yaning Wang, Yaning Wang et al. · Neuro-Oncology · 2023 · 73 citations · Full text

Medicine, Cell Biology, Oncology +17

Fusion Radiomics Features from Conventional MRI Predict MGMT Promoter Methylation Status in Lower Grade Gliomas

Chendan Jiang, Ziren Kong, Sirui Liu et al. · European Journal of Radiology · 2019 · 48 citations

Medicine, Oncology, Radiology +14