Combining Position Weight Matrices and Document-Term Matrix for Efficient Extraction of Associations of Methylated Genes and Diseases from Free Text

Arwa Bin Raies; Hicham Mansour; Roberto Incitti; Vladimir B. Bajic

doi:10.1371/journal.pone.0077848

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Open Access

Peer-reviewed

Research Article

Combining Position Weight Matrices and Document-Term Matrix for Efficient Extraction of Associations of Methylated Genes and Diseases from Free Text

Arwa Bin Raies,

Affiliation Computational Bioscience Research Centre (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
⨯
Hicham Mansour,

Affiliation Bioscience Core Laboratories, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
⨯
Roberto Incitti,

Affiliation Bioscience Core Laboratories, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
⨯
Vladimir B. Bajic

* E-mail: vladimir.bajic@kaust.edu.sa

Affiliation Computational Bioscience Research Centre (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
⨯

Combining Position Weight Matrices and Document-Term Matrix for Efficient Extraction of Associations of Methylated Genes and Diseases from Free Text

Arwa Bin Raies,
Hicham Mansour,
Roberto Incitti,
Vladimir B. Bajic

Published: October 16, 2013
https://doi.org/10.1371/journal.pone.0077848

About the Authors

Arwa Bin Raies

Affiliation Computational Bioscience Research Centre (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

Hicham Mansour

Affiliation Bioscience Core Laboratories, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

Roberto Incitti

Affiliation Bioscience Core Laboratories, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

Vladimir B. Bajic

* E-mail: vladimir.bajic@kaust.edu.sa

Competing Interests

Vladimir Bajic is an Academic Editor of PLoS ONE. This does not alter our adherence to all the PLOS ONE policies on sharing data and materials.

Author Contributions

Conceived and designed the experiments: VBB. Performed the experiments: ABR. Analyzed the data: VBB ABR RI HM. Wrote the manuscript: VBB ABR. Developed the Web application: ABR.

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Methylation
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DNA methylation
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Machine learning algorithms
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Machine learning
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Genetic causes of cancer
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Trees
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Breast cancer
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Text mining
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