UvA-DARE (Digital Academic Repository) Multi-view learning and deep learning for heterogeneous biological data to maintain oral health Imangaliyev, S.K. Publication date 2016 Document Version Final published version Link to publication Citation for published version (APA): Imangaliyev, S. K. (2016). Multi-view learning and deep learning for heterogeneous biological data to maintain oral health. General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl) Download date:01 Oct 2021 Bibliography [1] L. Abusleme, A. K. Dupuy, N. Dutzan, N. Silva, J. A. Burleson, L. D. Strausbaugh, J. Gamonal, and P. I. Diaz. The subgingival microbiome in health and periodontitis and its relationship with community biomass and inflammation. ISME J, 7(5):1016– 1025, May 2013. [2] Alan Aderem. Systems biology: its practice and challenges. Cell, 121(4):511–513, 2005. [3] Salem Alelyani, Jiliang Tang, and Huan Liu. Feature selection for clustering: A review. Data Clustering: Algorithms and Applications, 29, 2013. [4] Jose´ Leopoldo Ferreira Antunes, Marco Aurelio´ Peres, Antonio Carlos Frias, Edgard Michel Crosato, and Maria Gabriela Haye Biazevic. 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