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Additional file 4 of Predicting chemosensitivity using drug perturbed gene dynamics

Figshare2021-01-14 更新2026-04-08 收录

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https://springernature.figshare.com/articles/dataset/Additional_file_4_of_Predicting_chemosensitivity_using_drug_perturbed_gene_dynamics/13545859 数据链接链接失效反馈

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Additional file 4: Spearman correlations featured in Figure 3.

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创建时间：

2021-01-08

泛癌基因功能分析

肿瘤化疗敏感性预测

IntroductionExtra spindle pole bodies like 1 (ESPL1) are required to continue the cell cycle, and its primary role is to initiate the final segregation of sister chromatids. Although prior research ha

NIAID Data Ecosystem30

Chemosensitivity prediction of Paclitaxel-Platinum combination therapy by expression profile in ovarian cancer. Homo sapiens

肿瘤化疗敏感性预测

基因表达谱分析

Ten human ovarian cancer cell lines were kindly provided as follows: an ovarian serous adenocarcinoma cell line, SKOV3 (Dr. N. Nagai, Hiroshima University, Hiroshima, Japan); KF28 and its TXL/CDDP-res

NIAID Data Ecosystem20

Chemosensitivity prediction by transcriptional profiling

肿瘤化疗敏感性预测

药物基因组学

In an effort to develop a genomics-based approach to the prediction of drug response, we have developed an algorithm for classification of cell line chemosensitivity based on gene expression profiles

PubMed Central2001-09-11 更新10

Sensitivity analysis in non-muscle invasive bladder tumor.

膀胱癌临床研究

肿瘤化疗敏感性预测

HR: hazard ratio, CI: confidence interval. *References: [53], [56], [58], [59], [61]. **References: [55,56,59,60 (Denmark cohort),60 (validation cohort)]. †References: [55,56,59,60 (Denmark cohort)].

NIAID Data Ecosystem20

Whole-exome sequencing of 79 xenografts derived from human cancer tissues

肿瘤化疗敏感性预测

药物基因组学

We performed whole-exome sequencing of 79 cancer xenografts derived from human cancer tissues to identify genetic predictors of chemosensitivity to nine cytotoxic anticancer drugs. Xenografts were har

NIAID Data Ecosystem20

Additional file 4 of Predicting chemosensitivity using drug perturbed gene dynamics

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