Reconstructing a Melanoma Data Set for Evaluating Differential Treatment Benefit According to Biomarker Subgroups

Satagopan Jaya M.; Iasonos Alexia; Kanik Joseph G.

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Reconstructing a Melanoma Data Set for Evaluating Differential Treatment Benefit According to Biomarker Subgroups

机译：根据生物标志物亚组重建用于评估差异治疗益处的黑色素瘤数据

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《Genetic epidemiology.》 |2017年第7期|共1页
作者
Satagopan Jaya M.; Iasonos Alexia; Kanik Joseph G.;
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作者单位

Mem Sloan Kettering Canc Ctr Dept Epidemiol &

Biostat New York NY 10021 USA;

Mem Sloan Kettering Canc Ctr Dept Epidemiol &

Biostat New York NY 10021 USA;

Mem Sloan Kettering Canc Ctr Dept Epidemiol &

Biostat New York NY 10021 USA;

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正文语种 eng
中图分类流行病学与防疫;
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1. Re-Exploring Biomarkers and Therapeutic Targets in Primary Melanoma Patients: Insights from Network-Based Analysis of Microarray Data [J] . Kangjie SHEN, Chuanyuan WEI, Yi XIE, 中国整形与重建外科(英文) . 2020,第004期
2. Re-Exploring Biomarkers and Therapeutic Targets in Primary Melanoma Patients: Insights from Network-Based Analysis of Microarray Data [J] . Kangjie SHEN, Zihao FENG, Jianying GU, 中国整形与重建外科（英文） . 2020,第004期
3. An update on biomarkers of potential benefit with bevacizumab for breast cancer treatment: Do we make progress? [J] . Xu Liang, Huiping Li, Florence Coussy, 中国癌症研究（英文版） . 2019,第004期
4. Evaluating Optimal Treatment for Melanoma:A Network Meta-Analysis [J] . Mengyuan ZHANG, Qiong HE, Yuifang YU, 中国整形与重建外科(英文) . 2021,第001期
5. A reconstructed melanoma data set for evaluating differential treatment benefit according to biomarker subgroups [J] . Jaya M. Satagopan, Alexia Iasonos, Joseph G. Kanik Data in Brief . 2017,第1期

机译：重建的黑色素瘤数据集，用于根据生物标志物亚组评估差异治疗获益
6. Reconstructing a Melanoma Data Set for Evaluating Differential Treatment Benefit According to Biomarker Subgroups [J] . Satagopan Jaya M., Iasonos Alexia, Kanik Joseph G. Genetic epidemiology. . 2017,第7期

机译：根据生物标志物亚组重建用于评估差异治疗益处的黑色素瘤数据
7. Quantifying Treatment Benefit in Molecular Subgroups to Assess a Predictive Biomarker [J] . Iasonos Alexia, Chapman Paul B., Satagopan Jaya M. Clinical cancer research: an official journal of the American Association for Cancer Research . 2016,第9期

机译：量化分子亚组中的治疗益处以评估预测性生物标志物
8. Differential Proteomics of Secreted Proteins for Melanoma Biomarker Discovery [C] . Mathur Rajesh, Lalita A. Shevde, Rajeev S. Samant, ASMS Conference on Mass Spectrometry and Allied Topics . 2008

机译：黑色素瘤生物标志物发现分泌蛋白质的差分蛋白质组学
9. Overcoming Melanoma Immune Tolerance: Non-specific CTLA-4 Blockade/Interferon-alpha and Antigen Specific Immunization with TLR-9 Stimulation/Local GM-CSF as Components of a Melanoma Immunotherapeutic Strategy and Associated Biomarkers of Therapeutic Benefit. [D] . Tarhini, Ahmad A. 2011

机译：克服黑色素瘤的免疫耐受性：非特异性CTLA-4阻断/干扰素-α和抗原特异性免疫，TLR-9刺激/局部GM-CSF作为黑色素瘤免疫治疗策略的组成部分和相关的治疗有益生物标志物。
10. A reconstructed melanoma data set for evaluating differential treatment benefit according to biomarker subgroups [O] . Jaya M. Satagopan, Alexia Iasonos, Joseph G. Kanik 2017

机译：重建的黑色素瘤数据集用于根据生物标志物亚组评估差异治疗获益
11. A reconstructed melanoma data set for evaluating differential treatment benefit according to biomarker subgroups [O] . Jaya M. Satagopan, Alexia Iasonos, Joseph G. Kanik 2017

机译：用于根据生物标志物亚组评估差异治疗益处的重建的黑素瘤数据集
12. Differential Profiling of Volatile Organic Compound Biomarker Signatures Utilizing a Logical Statistical Filter-Set and Novel Hybrid Evolutionary Classifiers. [R] . C. C. Grigsby D. W. Boone M. A. Zmuda R. M. Kramer T. C. Highlander 2012

机译：利用逻辑统计滤波器组和新型混合进化分类器对挥发性有机化合物生物标志物特征进行差异分析。

Reconstructing a Melanoma Data Set for Evaluating Differential Treatment Benefit According to Biomarker Subgroups

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