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020 ▼a 9780438209282
035 ▼a (MiAaPQ)AAI10789493
035 ▼a (MiAaPQ)grad.sunysb:13655
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 519
1001 ▼a Pouryahya, Maryam.
24510 ▼a Discrete Ricci Curvature for the Analysis of Biological Networks.
260 ▼a [S.l.] : ▼b State University of New York at Stony Brook., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 102 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Allen R. Tannenbaum.
5021 ▼a Thesis (Ph.D.)--State University of New York at Stony Brook, 2018.
520 ▼a In this study, we adopted a discrete analogous notion of Ricci curvature in a Riemannian manifold to infer certain robustness properties of networks of interest. We explored three possible discrete notions of Ricci curvature on biological networ
590 ▼a School code: 0771.
650 4 ▼a Applied mathematics.
690 ▼a 0364
71020 ▼a State University of New York at Stony Brook. ▼b Applied Mathematics and Statistics.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0771
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997519 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 관리자