Computational identification of multi-omic correlates of anticancer therapeutic response
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics,Biotechnology
Link
https://link.springer.com/content/pdf/10.1186/1471-2164-15-S7-S2.pdf
Reference36 articles.
1. Shoemaker RH: The NCI60 human tumour cell line anticancer drug screen. Nature reviews Cancer. 2006, 6 (10): 813-823. 10.1038/nrc1951.
2. Chapman PB, Hauschild A, Robert C, Haanen JB, Ascierto P, Larkin J, Dummer R, Garbe C, Testori A, Maio M, et al: Improved survival with vemurafenib in melanoma with BRAF V600E mutation. The New England journal of medicine. 2011, 364 (26): 2507-2516. 10.1056/NEJMoa1103782.
3. Kwak EL, Bang YJ, Camidge DR, Shaw AT, Solomon B, Maki RG, Ou SH, Dezube BJ, Janne PA, Costa DB, et al: Anaplastic lymphoma kinase inhibition in non-small-cell lung cancer. The New England journal of medicine. 2010, 363 (18): 1693-1703. 10.1056/NEJMoa1006448.
4. Druker BJ, Guilhot F, O'Brien SG, Gathmann I, Kantarjian H, Gattermann N, Deininger MW, Silver RT, Goldman JM, Stone RM, et al: Five-year follow-up of patients receiving imatinib for chronic myeloid leukemia. The New England journal of medicine. 2006, 355 (23): 2408-2417. 10.1056/NEJMoa062867.
5. Barretina J, Caponigro G, Stransky N, Venkatesan K, Margolin AA, Kim S, Wilson CJ, Lehar J, Kryukov GV, Sonkin D, et al: The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature. 2012, 483 (7391): 603-607. 10.1038/nature11003.
Cited by 35 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. Machine learning based identification potential feature genes for prediction of drug efficacy in nonalcoholic steatohepatitis animal model;Lipids in Health and Disease;2024-08-24
2. Progress of bioinformatics studies for multi-omics and multi-modal data in complex diseases;Chinese Science Bulletin;2024-08-01
3. Graph neural networks best guide phenotypic virtual screening on cancer cell lines;2024-06-30
4. Computational precision therapeutics and drug repositioning;Comprehensive Precision Medicine;2024
5. Graph neural networks are promising for phenotypic virtual screening on cancer cell lines;Biology Methods and Protocols;2024
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