Multi-omics integration for neuroblastoma clinical endpoint prediction

Multi-omics integration for neuroblastoma clinical endpoint prediction

Abstract Background High-throughput methodologies such as microarrays and next-generation sequencing are routinely used in cancer research, generating complex data at different omics layers. The effective integration of omics data could provide a broader insight into the mechanisms of cancer biology...

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Bibliographic Details
Main Authors: Margherita Francescatto, Marco Chierici, Setareh Rezvan Dezfooli, Alessandro Zandonà, Giuseppe Jurman, Cesare Furlanello
Format: Article
Language:English
Published: BMC 2018-04-01
Series:Biology Direct
Subjects:
Neuroblastoma
Integration
Prediction
Classification
Autoencoder
Online Access:http://link.springer.com/article/10.1186/s13062-018-0207-8

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http://link.springer.com/article/10.1186/s13062-018-0207-8

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