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20152023
most citedComparing Three Notions of Discrete Ricci Curvature on Biological Networks

20 citations · 51 across the 13 of their papers we have counts for

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q-bio.MN2023★ 1 cited

Promotion/Inhibition Effects in Networks: A Model with Negative Probabilities

Anqi Dong, Tryphon T. Georgiou, Allen Tannenbaum

Biological networks often encapsulate promotion/inhibition as signed edge-weights of a graph. Nodes may correspond to genes assigned expression levels (mass) of respective proteins…

q-bio.MN2017★ 20 cited

Comparing Three Notions of Discrete Ricci Curvature on Biological Networks

Maryam Pouryahya, James Mathews, Allen Tannenbaum

In the present work, we study the properties of biological networks by applying analogous notions of fundamental concepts in Riemannian geometry and optimal mass transport to discr…

q-bio.MN2016

A Quantitative Analysis of Localized Robustness of MYCN in Neuroblastoma

Romeil Sandhu, Sarah Tannenbaum, Daniel Diolaiti +3

The amplification of the gene MYCN (V-myc myelocytomatosis viral-valeted oncogene, neuroblastoma derived) has been a well-documented indicator for poor prognosis in neuroblastoma,…

q-bio.MN2015★ 3 cited

An Analytical Approach for Insulin-like Growth Factor Receptor 1 and Mammalian Target of Rapamycin Blockades in Ewing Sarcoma

Romeil Sandhu, Salah-Eddine Lamhamedi-Cherradi, Sarah Tannenbaum +2

We present preliminary results that quantify network robustness and fragility of Ewing sarcoma (ES), a rare pediatric bone cancer that often exhibits de novo or acquired drug resis…

q-bio.MN2015★ 13 cited

Graph Curvature and the Robustness of Cancer Networks

Allen Tannenbaum, Chris Sander, Liangjia Zhu +5

The importance of studying properties of networks is manifest in diverse fields ranging from biology, engineering, physics, chemistry, neuroscience, and medicine. The functionality…