Machine learning for epigenetics and future medical applications
Understanding epigenetic processes holds immense promise for medical applications. Advances in Machine Learning (ML) are critical to realize this promise. Previous studies used epigenetic data sets associated with the germline transmission of epigenetic transgenerational inheritance of disease and n...
Main Authors: | Lawrence B. Holder, M. Muksitul Haque, Michael K. Skinner |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2017-07-01
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Series: | Epigenetics |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/15592294.2017.1329068 |
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