Using logistic regression to improve the prognostic value of microarray gene expression data sets: application to early-stage squamous cell carcinoma of the lung and triple negative breast carcinoma

标题
Using logistic regression to improve the prognostic value of microarray gene expression data sets: application to early-stage squamous cell carcinoma of the lung and triple negative breast carcinoma
作者
关键词
Early Death, Logistic Regression Method, Prognostic Gene, Slide Window Analysis, Kaplan Meier
出版物
BMC Medical Genomics
Volume 7, Issue 1, Pages -
出版商
Springer Nature
发表日期
2014-06-11
DOI
10.1186/1755-8794-7-33

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Create your own webinar

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

Create Now