Genome-Wide Locations of Potential Epimutations Associated with Environmentally Induced Epigenetic Transgenerational Inheritance of Disease Using a Sequential Machine Learning Prediction Approach

M. Muksitul Haque; Lawrence B. Holder; Michael K. Skinner

doi:10.1371/journal.pone.0142274

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Open Access

Peer-reviewed

Research Article

Genome-Wide Locations of Potential Epimutations Associated with Environmentally Induced Epigenetic Transgenerational Inheritance of Disease Using a Sequential Machine Learning Prediction Approach

M. Muksitul Haque,

Affiliations Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, Washington, 99164–4236, United States of America, School of Electrical Engineering and Computer Science, Washington State University, Pullman, Washington, 99164, United States of America
⨯
Lawrence B. Holder,

Affiliation School of Electrical Engineering and Computer Science, Washington State University, Pullman, Washington, 99164, United States of America
⨯
Michael K. Skinner

* E-mail: skinner@wsu.edu

Affiliation Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, Washington, 99164–4236, United States of America
⨯

Genome-Wide Locations of Potential Epimutations Associated with Environmentally Induced Epigenetic Transgenerational Inheritance of Disease Using a Sequential Machine Learning Prediction Approach

M. Muksitul Haque,
Lawrence B. Holder,
Michael K. Skinner

Published: November 16, 2015
https://doi.org/10.1371/journal.pone.0142274

About the Authors

M. Muksitul Haque

Affiliations Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, Washington, 99164–4236, United States of America, School of Electrical Engineering and Computer Science, Washington State University, Pullman, Washington, 99164, United States of America

Lawrence B. Holder

Affiliation School of Electrical Engineering and Computer Science, Washington State University, Pullman, Washington, 99164, United States of America

Michael K. Skinner

* E-mail: skinner@wsu.edu

Affiliation Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, Washington, 99164–4236, United States of America

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: MKS MMH LBH. Analyzed the data: MKS MMH LBH. Wrote the paper: MMH MKS. Edited the Manuscript: MKS MMH LBH. Collected Data: MMH.

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Machine learning
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DNA methylation
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Epigenetics
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Sperm
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Germ cells
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Genomics
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Sequence motif analysis
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Mammalian genomics
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