raw data-Predicting survival in Glioblastoma patients using Diffusion MR imaging metrics – a systematic review
收藏官方服务:
资源简介:
research data of the work
应用场景:
创建时间:
2021-04-15
相关数据集
MOESM2 of Multicellular gene network analysis identifies a macrophage-related gene signature predictive of therapeutic response and prognosis of gliomas
Additional file 2: Table S2. Supplementary tables for the details of patient sample information from CGGA and TCGA.
Figshare2024-02-15 更新50
Additional file 3 of Development and validation of a glioma-associated mesenchymal stem cell-related gene prognostic index for predicting prognosis and guiding individualized therapy in glioma
Additional file 3. Table S3: Details of all primer sequences.
Figshare2023-04-01 更新20
Table2_Purine metabolism-related gene expression signature predicts survival outcome and indicates immune microenvironment profile of gliomas.CSV
Glioma is the most common malignant tumor in the central nervous system. The impact of metabolism on cancer development and the immune microenvironment landscape has recently gained broad attention. P
NIAID Data Ecosystem10
Table6_Multi-Omics Analysis Based on Genomic Instability for Prognostic Prediction in Lower-Grade Glioma.XLS
Background: Lower-grade gliomas (LGGs) are a heterogeneous set of gliomas. One of the primary sources of glioma heterogeneity is genomic instability, a novel characteristic of cancer. It has been repo
NIAID Data Ecosystem30
The dataset of early mortality in patient with surgically treated recurrent lower grade glioma
The dataset is the record of recurrent lower grade glioma (LGG), with hematological and oncological markers. Meanwhile, an online calculator has been generated to predict early mortality in patient wi
NIAID Data Ecosystem10



