Sequence-based computational approaches have revolutionized biological understanding. However, they can fail to explain some biological phenomena. Since proteins aggregate to perform a function instead of acting in isolation, the connectivity of a protein interaction network (PIN) will provide additional insight into the inner working on the cel...
Creator:
Przulj, Natasha (Imperial College London)
Created:
2012-02-14
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Sequence-based computational approaches have revolutionized biological understanding. However, they can fail to explain some biological phenomena. Since proteins aggregate to perform a function instead of acting in isolation, the connectivity of a protein interaction network (PIN) will provide additional insight into the inner working on the cel...
Creator:
Przulj, Natasha (Imperial College London)
Created:
2012-02-28
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Many neurological diseases, such as epilepsy and Parkinson's disease, present symptoms of pathological neuronal activity. Large bursts of neuronal activity or large scale synchronous oscillations may arise from changes in the dynamics of the neurons and/or how they are connected. How changes in network topology result in these pathological behav...
Creator:
Netoff, Theoden (University of Minnesota, Twin Cities)
Created:
2012-09-05
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
We will discuss some topology-based techniques in the area of signal processing with applications to Sensor/social networks as well medical signal processing. We will furthermore describe some highly efficient implementations bringing them closer to practice.
Creator:
Krim, Hamid (North Carolina State University)
Created:
2014-03-03
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Systems as diverse as the world wide web, Internet or the cell are described by highly interconnected networks with amazingly complex structure. Recent studies indicate that the evolution of these complex networks is governed by simple but generic laws, resulting in apparently universal architectural features. I will discuss this amazing order c...
Creator:
Barabási, Albert-László (Northeastern University)
Created:
2009-04-28
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Two groups of studies recently proved to provide insights into such intrinsic, structure-induced effects: elastic network models that permit us to visualize the cooperative changes in conformation that are most readily accessible near native state conditions, and information-theoretic approaches that elucidate the most efficient pathways of sign...
Creator:
Bahar, Ivet (University of Pittsburgh)
Created:
2008-01-15
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
We present a novel energy formulation for the microstructured networks that develop when functionalized polymers interact with solvent. Such materialsfind widespread use in energy conversion and storage devices: PEM fuel cells, Dye-sensitized solar cells, Lithium-ion batteries. The formulation balances the favorable electrostatic interaction of ...
Creator:
Promislow, Keith (Michigan State University)
Created:
2012-09-14
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
Consider observing a collection of discrete events within a network that reflects how network nodes influence one another. Such data are common in spike trains recorded from biological neural networks, interactions within a social network, and a variety of other settings. Data of this form may be modeled as self-exciting point processes, in whic...
Creator:
Willett, Rebecca (University of Wisconsin, Madison)
Created:
2018-04-24
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
In this talk I will describe recent results on large populations of brain connectivity networks. We analyze sex and kinship relations and their effects in brain networks metrics and topologies. The reported results are obtained in collaboration between the team of Paul Thompson at UCLA and my team at the UofM, in particular Neda Jahanshad and Ju...
Creator:
Sapiro, Guillermo R. (University of Minnesota, Twin Cities)
Created:
2011-10-26
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
