<p>Machine learning model for identifying gene biomarkers for breast cancer treatment survival</p>

Ashraf Abou Tabl; Abed Alkhateeb; Waguih ElMaraghy; Alioune Ngom

doi:10.7490/f1000research.1114873.1

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Abou Tabl A, Alkhateeb A, ElMaraghy W and Ngom A. Machine learning model for identifying gene biomarkers for breast cancer treatment survival [version 1; not peer reviewed]. F1000Research 2017, 6(ISCB Comm J):1681 (poster) (https://doi.org/10.7490/f1000research.1114873.1)

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Machine learning model for identifying gene biomarkers for breast cancer treatment survival

Ashraf Abou Tabl¹, Abed Alkhateeb¹, Waguih ElMaraghy, Alioune Ngom

Published 12 Sep 2017 (https://doi.org/10.7490/f1000research.1114873.1)

Author Affiliations

¹ University of Windsor, Canada

Copyright © 2017 Abou Tabl A et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 12 Sep 2017

Machine learning model for identifying gene biomarkers for breast cancer treatment survival
[version 1; not peer reviewed]

Ashraf Abou Tabl¹, Abed Alkhateeb¹, Waguih ElMaraghy, Alioune Ngom

Author Affiliations

¹ University of Windsor, Canada

Presented at

8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB) 2017

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Breast cancer, survival, gene biomarkers, treatment, machine learning, classiﬁcation, feature selection

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