Biomarker studies: a call for a comprehensive biomarker study registry-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Biomarker studies: a call for a comprehensive biomarker study registry

Published:2011-03 Issue:3 Volume:8 Page:171-176
ISSN:1759-4774
Container-title:Nature Reviews Clinical Oncology
language:en
Short-container-title:Nat Rev Clin Oncol

Author:

Andre Fabrice,McShane Lisa M.,Michiels Stefan,Ransohoff David F.,Altman Douglas G.,Reis-Filho Jorge S.,Hayes Daniel F.,Pusztai Lajos

Publisher

Springer Science and Business Media LLC

Subject

Oncology

Link

http://www.nature.com/articles/nrclinonc.2011.4.pdf

Reference25 articles.

1. Begg, C. et al. Improving the quality of reporting of randomized controlled trials. The CONSORT statement. JAMA 276, 637–639 (1996).

2. McCray, A. T. & Ide, N. C. Design and implementation of a national clinical trials registry. J. Am. Med. Inform. Assoc. 7, 313–323 (2000).

3. Altman, D. G. & Riley, R. D. Primer: an evidence-based approach to prognostic markers. Nat. Clin. Pract. Oncol. 2, 466–472 (2005).

4. Simon, R. M., Paik, S. & Hayes, D. F. Use of archived specimens in evaluation of prognostic and predictive biomarkers. J. Natl Cancer Inst. 101, 1446–1452 (2009).

5. Simon, R. Development and evaluation of therapeutically relevant predictive classifiers using gene expression profiling. J. Natl Cancer Inst. 98, 1169–1171 (2006).

Cited by 104 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating knowledge graphs into machine learning models for survival prediction and biomarker discovery in patients with non–small-cell lung cancer;Journal of Translational Medicine;2024-08-05

2. Integrating Knowledge Graphs into Machine Learning Models for Survival Prediction and Biomarker Discovery in Patients with Non–Small-Cell Lung Cancer;2024-03-04

3. Precision Medicine, Future Risk and the Present Self;Anthropology Today;2024-01-31

4. Proximity Amplification-Enabled Electrochemical Analysis of Tumor-Associated Glycoprotein Biomarkers;Analytical Chemistry;2023-10-20

5. Re-evaluation of publicly available gene-expression databases using machine-learning yields a maximum prognostic power in breast cancer;Scientific Reports;2023-10-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3