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Autor:
Erten, Mehmet Sinan
Systems-level characterization of complex human diseases remains as one of the biggest challenges in the post-genomic era. Information useful for mechanistic understanding of diseases comes from different types of “-omic” data, including genomic
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=case1343769483
Autor:
Erten, Mehmet Sinan
High-throughput molecular interaction data have been used effectively to prioritize candidate disease genes, based on the notion that genes associated with similar diseases are likely to interact with each other heavily in a network of protein-protei
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=case1258743578
Autor:
Erten, Mehmet Sinan
Publikováno v:
Connect to this paper in the ETD Center.
Thesis(M.S.)--Case Western Reserve University, 2009
Title from PDF (viewed on 2010-01-28) Department of Electrical Engineering and Computer Science -- Computer and Information Sciences Includes abstract Includes bibliographical references and ap
Title from PDF (viewed on 2010-01-28) Department of Electrical Engineering and Computer Science -- Computer and Information Sciences Includes abstract Includes bibliographical references and ap
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=case1258743578