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Supplementary Table S2 from Data-Driven Computational Modeling Identifies Determinants of Glioblastoma Response to SHP2 Inhibition

NIAID Data Ecosystem2026-04-29 收录

药物响应预测

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数据链接：

https://figshare.com/articles/dataset/Supplementary_Table_S2_from_Data-Driven_Computational_Modeling_Identifies_Determinants_of_Glioblastoma_Response_to_SHP2_Inhibition/22428244 数据链接链接失效反馈

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Supplementary Table S2

应用场景：

创建时间：

2021-04-15

胶质母细胞瘤

基因表达分析

Table. Kaplan-Meier survival analysis. The table reports the list of the switch genes, the p-values resulted from log-rank test, and the adjusted p-values (FDR) for multiple testing. The list is sorte

DataCite Commons2020-08-28 更新90

Glioblastoma cell malignancy and drug sensitivity are affected by the cell of origin. Glioblastoma cell malignancy and drug sensitivity are affected by the cell of origin

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药物敏感性

This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series

NIAID Data Ecosystem50

Additional file 9 of FKBP9 promotes the malignant behavior of glioblastoma cells and confers resistance to endoplasmic reticulum stress inducers

基因表达

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Additional file 9: Table S3. The FPKM value list of upregulated transcripts related to ER stress. RNA was extracted from shControl and shFKBP9 cells and RNA-Seq was performed by the Novogene Corporati

DataCite Commons2024-02-20 更新40

Additional file 4 of DNA methylation in glioblastoma: impact on gene expression and clinical outcome

表观遗传学

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Additional file 4:CpG sites displaying an inverse correlation between promoter methylation and expression levels. (XLS 117 KB)

DataCite Commons2020-08-27 更新60

DataSheet_5_Stellera chamaejasme L. extracts in the treatment of glioblastoma cell lines: Biological verification based on a network pharmacology approach.xlsx

胶质母细胞瘤

网络药理学

BackgroundStellera chamaejasme L (RXLD) has been demonstrated with good clinical effects and medicinal value in the treatment of cancer in vivo and in vitro. Specifically, RXLD can eliminate aggregati

NIAID Data Ecosystem50

Supplementary Table S2 from Data-Driven Computational Modeling Identifies Determinants of Glioblastoma Response to SHP2 Inhibition

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