Open source machine-learning algorithms for the prediction of optimal cancer drug therapies

标题
Open source machine-learning algorithms for the prediction of optimal cancer drug therapies
作者
关键词
Gene expression, Support vector machines, Forecasting, Microarrays, Open source software, Drug therapy, Ovarian cancer, Employment
出版物
PLoS One
Volume 12, Issue 10, Pages e0186906
出版商
Public Library of Science (PLoS)
发表日期
2017-10-27
DOI
10.1371/journal.pone.0186906

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now