Integration of multiple types of genetic markers for neuroblastoma may contribute to improved prediction of the overall survival

Integration of multiple types of genetic markers for neuroblastoma may contribute to improved prediction of the overall survival

Abstract Background Modern experimental techniques deliver data sets containing profiles of tens of thousands of potential molecular and genetic markers that can be used to improve medical diagnostics. Previous studies performed with three different experimental methods for the same set of neuroblas...

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Bibliographic Details
Main Authors: Aneta Polewko-Klim, Wojciech Lesiński, Krzysztof Mnich, Radosław Piliszek, Witold R. Rudnicki
Format: Article
Language:English
Published: BMC 2018-09-01
Series:Biology Direct
Subjects:
Neuroblastoma
Feature selection
Machine learning
Random forest
Copy number variation
Gene expression
Online Access:http://link.springer.com/article/10.1186/s13062-018-0222-9

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http://link.springer.com/article/10.1186/s13062-018-0222-9

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