A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines

Ferdi Sarac; Volkan Uslan; Huseyin Seker; Ahmed Bouridane

doi:10.1109/SMC.2016.7844821

A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines

Ferdi Sarac, Volkan Uslan, Huseyin Seker, Ahmed Bouridane

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

2 Citations (SciVal)

Original language	English
Title of host publication	2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3770-3775
Number of pages	6
ISBN (Electronic)	9781509018970
DOIs	https://doi.org/10.1109/SMC.2016.7844821
Publication status	Published (VoR) - 6 Feb 2017
Event	2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Budapest, Hungary Duration: 9 Oct 2016 → 12 Oct 2016

Publication series

Name	2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings

Conference

Conference	2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
Country/Territory	Hungary
City	Budapest
Period	9/10/16 → 12/10/16

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10.1109/SMC.2016.7844821

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Sarac, F., Uslan, V., Seker, H., & Bouridane, A. (2017). A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines. In 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings (pp. 3770-3775). Article 7844821 (2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2016.7844821

Sarac, Ferdi ; Uslan, Volkan ; Seker, Huseyin et al. / A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines. 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 3770-3775 (2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings).

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title = "A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines",

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

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 ; Conference date: 09-10-2016 Through 12-10-2016",

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doi = "10.1109/SMC.2016.7844821",

language = "English",

series = "2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings",

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Sarac, F, Uslan, V, Seker, H & Bouridane, A 2017, A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines. in 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings., 7844821, 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 3770-3775, 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016, Budapest, Hungary, 9/10/16. https://doi.org/10.1109/SMC.2016.7844821

A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines. / Sarac, Ferdi; Uslan, Volkan; Seker, Huseyin et al.
2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 3770-3775 7844821 (2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings).

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

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T1 - A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines

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AU - Bouridane, Ahmed

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M3 - Conference contribution

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BT - 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings

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Y2 - 9 October 2016 through 12 October 2016

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Sarac F, Uslan V, Seker H, Bouridane A. A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines. In 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 3770-3775. 7844821. (2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings). doi: 10.1109/SMC.2016.7844821

A supervised feature selection framework in relation to prediction of antibody feature-function activity relationships in RV144 vaccines

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