Data mining and machine learning approaches for the integration of genome-wide association and methylation data: methodology and main conclusions from GAW20

Data mining and machine learning approaches for the integration of genome-wide association and methylation data: methodology and main conclusions from GAW20

Abstract Background Multiple layers of genetic and epigenetic variability are being simultaneously explored in an increasing number of health studies. We summarize here different approaches applied in the Data Mining and Machine Learning group at the GAW20 to integrate genome-wide genotype and methy...

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Bibliographic Details
Main Authors: Burcu Darst, Corinne D. Engelman, Ye Tian, Justo Lorenzo Bermejo
Format: Article
Language:English
Published: BMC 2018-09-01
Series:BMC Genetics
Subjects:
Data mining
Machine learning
Genome-wide association study
Epigenome-wide association study
Online Access:http://link.springer.com/article/10.1186/s12863-018-0646-3

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http://link.springer.com/article/10.1186/s12863-018-0646-3

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