A support vector regression based model for the quantitative prediction of age and body mass index by using epigenetic information from peripheral blood

Ferdi Sarac; Huseyin Seker; Ahmed Bouridane

doi:10.1145/3141128.3141150

A support vector regression based model for the quantitative prediction of age and body mass index by using epigenetic information from peripheral blood

Ferdi Sarac, Huseyin Seker, Ahmed Bouridane

Northumbria University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	2017 International Conference on Cloud and Big Data Computing, ICCBDC 2017
Publisher	Association for Computing Machinery
Pages	125-129
Number of pages	5
ISBN (Electronic)	9781450353434
DOIs	https://doi.org/10.1145/3141128.3141150
Publication status	Published (VoR) - 17 Sept 2017
Event	2017 International Conference on Cloud and Big Data Computing, ICCBDC 2017 - London, United Kingdom Duration: 17 Sept 2017 → 19 Sept 2017

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2017 International Conference on Cloud and Big Data Computing, ICCBDC 2017
Country/Territory	United Kingdom
City	London
Period	17/09/17 → 19/09/17

Keywords

Age prediction
CpG biomarkers
Unsupervised feature selection

Access to Document

10.1145/3141128.3141150

Cite this

Sarac, F., Seker, H., & Bouridane, A. (2017). A support vector regression based model for the quantitative prediction of age and body mass index by using epigenetic information from peripheral blood. In 2017 International Conference on Cloud and Big Data Computing, ICCBDC 2017 (pp. 125-129). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3141128.3141150

Sarac, Ferdi ; Seker, Huseyin ; Bouridane, Ahmed. / A support vector regression based model for the quantitative prediction of age and body mass index by using epigenetic information from peripheral blood. 2017 International Conference on Cloud and Big Data Computing, ICCBDC 2017. Association for Computing Machinery, 2017. pp. 125-129 (ACM International Conference Proceeding Series).

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author = "Ferdi Sarac and Huseyin Seker and Ahmed Bouridane",

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month = sep,

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doi = "10.1145/3141128.3141150",

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Sarac, F, Seker, H & Bouridane, A 2017, A support vector regression based model for the quantitative prediction of age and body mass index by using epigenetic information from peripheral blood. in 2017 International Conference on Cloud and Big Data Computing, ICCBDC 2017. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 125-129, 2017 International Conference on Cloud and Big Data Computing, ICCBDC 2017, London, United Kingdom, 17/09/17. https://doi.org/10.1145/3141128.3141150

A support vector regression based model for the quantitative prediction of age and body mass index by using epigenetic information from peripheral blood. / Sarac, Ferdi; Seker, Huseyin; Bouridane, Ahmed.
2017 International Conference on Cloud and Big Data Computing, ICCBDC 2017. Association for Computing Machinery, 2017. p. 125-129 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Sarac F, Seker H, Bouridane A. A support vector regression based model for the quantitative prediction of age and body mass index by using epigenetic information from peripheral blood. In 2017 International Conference on Cloud and Big Data Computing, ICCBDC 2017. Association for Computing Machinery. 2017. p. 125-129. (ACM International Conference Proceeding Series). doi: 10.1145/3141128.3141150

A support vector regression based model for the quantitative prediction of age and body mass index by using epigenetic information from peripheral blood

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Keywords

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