Effective Automated Feature Construction and Selection for Classification of Biological Sequences

Uday Kamath; Kenneth De Jong; Amarda Shehu

doi:10.1371/journal.pone.0099982

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Open Access

Peer-reviewed

Research Article

Effective Automated Feature Construction and Selection for Classification of Biological Sequences

Uday Kamath,

Affiliation Computer Science, George Mason University, Fairfax, Virginia, United States of America
⨯
Kenneth De Jong ,

* E-mail: kdejong@gmu.edu (KD); amarda@gmu.edu (AS)

Affiliations Computer Science, George Mason University, Fairfax, Virginia, United States of America, Krasnow Institute, George Mason University, Fairfax, Virginia, United States of America
⨯
Amarda Shehu

* E-mail: kdejong@gmu.edu (KD); amarda@gmu.edu (AS)

Affiliations Computer Science, George Mason University, Fairfax, Virginia, United States of America, Bioengineering, George Mason University, Fairfax, Virginia, United States of America, School of Systems Biology, George Mason University, Fairfax, Virginia, United States of America
⨯

Effective Automated Feature Construction and Selection for Classification of Biological Sequences

Uday Kamath,
Kenneth De Jong,
Amarda Shehu

Published: July 17, 2014
https://doi.org/10.1371/journal.pone.0099982

About the Authors

Uday Kamath

Affiliation Computer Science, George Mason University, Fairfax, Virginia, United States of America

Kenneth De Jong

* E-mail: kdejong@gmu.edu (KD); amarda@gmu.edu (AS)

Affiliations Computer Science, George Mason University, Fairfax, Virginia, United States of America, Krasnow Institute, George Mason University, Fairfax, Virginia, United States of America

Amarda Shehu

* E-mail: kdejong@gmu.edu (KD); amarda@gmu.edu (AS)

Affiliations Computer Science, George Mason University, Fairfax, Virginia, United States of America, Bioengineering, George Mason University, Fairfax, Virginia, United States of America, School of Systems Biology, George Mason University, Fairfax, Virginia, United States of America

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: UK KD AS. Performed the experiments: UK. Analyzed the data: UK KD AS. Contributed reagents/materials/analysis tools: UK. Wrote the paper: UK KD AS.

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Alu elements
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Kernel methods
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Machine learning
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Statistical data
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Algorithms
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Nucleotide sequencing
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Sequence motif analysis
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Evolutionary algorithms
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