Gosztolai, Adam Ramdya, Pavan
Published in
Current opinion in neurobiology
A major goal shared by neuroscience and collective behavior is to understand how dynamic interactions between individual elements give rise to behaviors in populations of neurons and animals, respectively. This goal has recently become within reach, thanks to techniques providing access to the connectivity and activity of neuronal ensembles as well...
Sluijk, Dany (author)
In this paper we will consider the Byzantine Reliable Broadcast problem on partially connected net- works. We introduce an routing algorithm for networks with a known topology. It will show that when this is combined with cryptographic signatures, we can use the routing algorithm to create an optimal amount of messages. We will introduce a few algo...
Wang, Wei Du, Wenbo Liu, Kun Tong, Lu
Published in
Urban rail transit
With the rapid development of China's economy and society, China's railway transportation system has been dramatically improved in terms of its scale and operational efficiency. To uncover the underlying relationship between urbanization and railway network structure, this paper examines the evolution of China's railway transportation system from 1...
Wang, Zhipeng Zhan, Xiu-Xiu Liu, Chuang Zhang, Zi-Ke
Published in
iScience
Quantifying structural dissimilarities between networks is a fundamental and challenging problem in network science. Previous network comparison methods are based on the structural features, such as the length of shortest path and degree, which only contain part of the topological information. Therefore, we propose an efficient network comparison m...
Dreef, H. J. Shi, S. Cheng, X. Donkers, M. C. F. Hof, P. M. J. Van den
Identifiability of linear dynamic networks requires the presence of a sufficient number of external excitation signals. The problem of allocating a minimal number of external signals for guaranteeing generic network identifiability has been recently addressed in the literature. Here we will extend that work by explicitly incorporating the situation...
Cheng, Runtan Wang, Lu Le, Shenglong Yang, Yifan Zhao, Can Zhang, Xiangqi Yang, Xin Xu, Ting Xu, Leiting Wiklund, Petri
...
Published in
Nature Communications
Exercise and diet interventions are treatments for nonalcoholic fatty liver disease (NAFLD). Here the authors report that in randomized, controlled trial in patients with NAFLD exercise and diet intervention were associated with diversified gut microbiome keystone taxa. Exploratory analysis suggests gut microbial network may be used to predict the ...
Chari, Aswin Seunarine, Kiran K. He, Xiaosong Tisdall, Martin M. Clark, Christopher A. Bassett, Dani S. Scott, Rod C. Rosch, Richard E.
Published in
Communications Biology
Children with drug-resistant epilepsy exhibit distinct structural connectomes and changes in network controllability from healthy controls, providing further insight into the pathophysiology of this disease.
Liu, Chunan Ram, Sudha Hurwitz, Bonnie L
Published in
Scientific reports
Skin disorders are one of the most common complications of type II diabetes (T2DM). Long-term effects of high blood glucose leave individuals with T2DM more susceptible to cutaneous diseases, but its underlying molecular mechanisms are unclear. Network-based methods consider the complex interactions between genes which can complement the analysis o...
Khojasteh, Hakimeh Khanteymoori, Alireza Olyaee, Mohammad Hossein
Published in
Scientific Reports
SARS-CoV-2 pandemic first emerged in late 2019 in China. It has since infected more than 298 million individuals and caused over 5 million deaths globally. The identification of essential proteins in a protein–protein interaction network (PPIN) is not only crucial in understanding the process of cellular life but also useful in drug discovery. Ther...
Raredon, Micha Sam Brickman Yang, Junchen Garritano, James Wang, Meng Kushnir, Dan Schupp, Jonas Christian Adams, Taylor S. Greaney, Allison M. Leiby, Katherine L. Kaminski, Naftali
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Published in
Scientific Reports
Single-cell RNA-sequencing data has revolutionized our ability to understand of the patterns of cell–cell and ligand–receptor connectivity that influence the function of tissues and organs. However, the quantification and visualization of these patterns in a way that informs tissue biology are major computational and epistemological challenges. Her...
