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Comparison of UNCOVER with REVEALER on GDSC dataset.

Figshare2019-05-23 更新2026-04-29 收录

肿瘤药物敏感性预测

基因组数据分析方法

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https://figshare.com/articles/dataset/Comparison_of_UNCOVER_with_REVEALER_on_GDSC_dataset_/8175569 数据链接链接失效反馈

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Comparison of UNCOVER with REVEALER on GDSC dataset.

UNCOVER与REVEALER在GDSC数据集上的对比研究

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2019-05-23

肿瘤药物敏感性预测

胶质瘤生物标志物

Background. In a previous publication we introduced a novel approach to identify genes that hold predictive information about treatment outcome. A linear regression model was fitted by using the least

NIAID Data Ecosystem60

Additional file 2 of A tumor microenvironment-based prognostic index for osteosarcoma

肿瘤微环境模型

肿瘤药物敏感性预测

Additional file 2: Table S2. DEGs between high- and low-ImmuneScore groups. Table S3. DEGs between high- and low-StromalScore groups. Table S4. Genes of green, blue and yellow modules in WGCNA. Table

Figshare2023-04-14 更新40

Consensus-Phenotype Integration of Transcriptomic and Metabolomic Data Implies a Role for Metabolism in the Chemosensitivity of Tumour Cells

肿瘤药物敏感性预测

多组学数据整合

Using transcriptomic and metabolomic measurements from the NCI60 cell line panel, together with a novel approach to integration of molecular profile data, we show that the biochemical pathways associa

NIAID Data Ecosystem30

Additional file 1: of Predict drug sensitivity of cancer cells with pathway activity inference

肿瘤药物敏感性预测

分子通路分析

Metrics of pathway member genes and their correlations. (XLSX 127 kb)

NIAID Data Ecosystem50

Anti-tumor Activity of Histone Deacetylase Inhibitors in Non-Small Cell Lung Cancer Cells

肿瘤药物敏感性预测

个性化医疗

In order to ascertain the potential for histone deacetylase (HDAC) inhibitor-based treatment in non-small cell lung cancer (NSCLC), we analyzed the anti-tumour effects of Trichostatin A (TSA) and sube

NIAID Data Ecosystem30

Comparison of UNCOVER with REVEALER on GDSC dataset.

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