LUADpp: an effective prediction model on prognosis of lung adenocarcinomas based on somatic mutational features

LUADpp: an effective prediction model on prognosis of lung adenocarcinomas based on somatic mutational features

Abstract Background Lung adenocarcinoma is the most common type of lung cancers. Whole-genome sequencing studies disclosed the genomic landscape of lung adenocarcinomas. however, it remains unclear if the genetic alternations could guide prognosis prediction. Effective genetic markers and their base...

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Bibliographic Details
Main Authors: Jiaxian Yu, Yueming Hu, Yafei Xu, Jue Wang, Jiajie Kuang, Wei Zhang, Jianlin Shao, Dianjing Guo, Yejun Wang
Format: Article
Language:English
Published: BMC 2019-03-01
Series:BMC Cancer
Subjects:
Lung adenocarcinomas
Somatic mutational
Personal medicine
Support vector machine model
Machine learning
Online Access:http://link.springer.com/article/10.1186/s12885-019-5433-7

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http://link.springer.com/article/10.1186/s12885-019-5433-7

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