Comparative epigenomics by machine learning approach for neuroblastoma

Comparative epigenomics by machine learning approach for neuroblastoma

Abstract Background Neuroblastoma (NB) is the second most common pediatric solid tumor. Because the number of genetic mutations found in tumors are small, even in some patients with unfavorable NB, epigenetic variation is expected to play an important role in NB progression. DNA methylation is a maj...

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Bibliographic Details
Main Authors: Ryuichi P. Sugino, Miki Ohira, Sayaka P. Mansai, Takehiko Kamijo
Format: Article
Language:English
Published: BMC 2022-12-01
Series:BMC Genomics
Subjects:
Comparative epigenomics
Machine learning
DNA methylation
Neuroblastoma
Online Access:https://doi.org/10.1186/s12864-022-09061-y

Internet

https://doi.org/10.1186/s12864-022-09061-y

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