Predicting survival times for neuroblastoma patients using RNA-seq expression profiles

Predicting survival times for neuroblastoma patients using RNA-seq expression profiles

Abstract Background Neuroblastoma is the most common tumor of early childhood and is notorious for its high variability in clinical presentation. Accurate prognosis has remained a challenge for many patients. In this study, expression profiles from RNA-sequencing are used to predict survival times d...

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Bibliographic Details
Main Authors: Tyler Grimes, Alejandro R. Walker, Susmita Datta, Somnath Datta
Format: Article
Language:English
Published: BMC 2018-05-01
Series:Biology Direct
Subjects:
Accelerated failure time
Sparse PLS
Lasso
Elastic net
Data imputation
Online Access:http://link.springer.com/article/10.1186/s13062-018-0213-x

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http://link.springer.com/article/10.1186/s13062-018-0213-x

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