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arda-durmaz-thesis.pdf (10 MB)
ETD Abstract Container
Abstract Header
FREQUENT SUBGRAPH MINING OF PERSONALIZED SIGNALING NETWORKS
Author Info
Durmaz, Arda
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=case149704489838836
Abstract Details
Year and Degree
2017, Master of Sciences, Case Western Reserve University, Systems Biology and Bioinformatics.
Abstract
In this study we have investigated the problem of identifying cancer subtypes integrating gene expression and protein-protein interaction networks. We propose the use of frequent subgraph mining coupled with non-negative matrix factorization and show that mining frequently occurring dysregulation patterns can uncover features that group patients into clinically relevant subtypes. Identified features are also able to provide functional mechanisms for differential prognosis among patients. This approach can improve current subtype classifications and identify functionally novel features.
Committee
Gurkan Bebek (Advisor)
Mehmet Koyuturk (Committee Member)
Jean-Eudes Dazard (Committee Member)
Pages
98 p.
Subject Headings
Bioinformatics
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Citations
Durmaz, A. (2017).
FREQUENT SUBGRAPH MINING OF PERSONALIZED SIGNALING NETWORKS
[Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case149704489838836
APA Style (7th edition)
Durmaz, Arda.
FREQUENT SUBGRAPH MINING OF PERSONALIZED SIGNALING NETWORKS.
2017. Case Western Reserve University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=case149704489838836.
MLA Style (8th edition)
Durmaz, Arda. "FREQUENT SUBGRAPH MINING OF PERSONALIZED SIGNALING NETWORKS." Master's thesis, Case Western Reserve University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case149704489838836
Chicago Manual of Style (17th edition)
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Document number:
case149704489838836
Download Count:
488
Copyright Info
© 2017, some rights reserved.
FREQUENT SUBGRAPH MINING OF PERSONALIZED SIGNALING NETWORKS by Arda Durmaz is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.