Results 81 to 90 of about 572,176 (269)

Special identity subgraph in genetic code [PDF]

Network Biology, 2022
The genetic code is a series of codons that stores genetic information about protein molecule formation. The identity graph of a group G is a graph in which the vertex set is the set of all elements of the group and two vertices in G are adjacent if a.b =
Birinchi Kumar Boruah, Tazid Ali
doaj  

Global Clustering Coefficient in Scale-Free Networks [PDF]

, 2014
In this paper, we analyze the behavior of the global clustering coefficient in scale free graphs. We are especially interested in the case of degree distribution with an infinite variance, since such degree distribution is usually observed in real-world networks of diverse nature.
Prokhorenkova, Liudmila Ostroumova, Samosvat, Egor   +1 more
openaire   +2 more sources

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Properties of highly clustered networks

, 2003
We propose and solve exactly a model of a network that has both a tunable degree distribution and a tunable clustering coefficient. Among other things, our results indicate that increased clustering leads to a decrease in the size of the giant component ...
A. Vázquez, A.-L. Barabási, D.J. Watts, D.J. Watts, E. Ravasz, F. Chung, H.W. Hethcote, K. Klemm, L.A.N. Amaral, L.M. Sander, M. E. J. Newman, M. Faloutsos, M. Girvan, M. Molloy, M. Molloy, M.E.J. Newman, M.E.J. Newman, M.E.J. Newman, M.E.J. Newman, P. Grassberger, P. Holme, R. Albert, R. Albert, R. Cohen, R.J. Riddell, Jr., S.H. Strogatz, S.N. Dorogovtsev, S.N. Dorogovtsev, Y. Moreno   +28 more
core   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gabor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Internet complex network separation degree analysis based on hops

Tongxin xuebao, 2005
At the first the infection of the same separation degree to different network’s transmission was discussed, then the infection of different separation degree to same network’s transmission was discussed by giving an example of small world network ...
SU Wei-ji, ZHAO Hai, XU Ye, ZHANG Wen-bo
doaj  

Identifying key spreaders in complex networks based on local clustering coefficient and structural hole information

New Journal of Physics, 2023
Identifying key spreaders in a network is one of the fundamental problems in the field of complex network research, and accurately identifying influential propagators in a network holds significant practical implications.
Hao Wang, Jian Wang, Qian Liu, Shuang-ping Yang, Jun-jie Wen, Na Zhao   +5 more
doaj   +1 more source

The clustering coefficient of a scale-free random graph [PDF]

, 2008
We consider a random graph process in which, at each time step, a new vertex is added with m out-neighbours, chosen with probabilities proportional to their degree plus a strictly positive constant.
Eggemann, N, Noble, S D
core   +2 more sources

Local-world evolving networks with tunable clustering

, 2007
We propose an extended local-world evolving network model including a triad formation step. In the process of network evolution, random fluctuation in the number of new edges is involved.
Albert, Albert, Andrade, Barabási, Barabási, Barrat, Barrat, Barthélémy, Bing Wang, Boccaletti, Borner, Chen, Comellas, Dorogovtsev, Dorogovtsev, Dorogovtsev, Dorogvtsev, Doye, Eguíluz, Erdös, Erdös, Faloutsos, Holme, Jeong, Jeong, Jihong Guan, Klemm, Klemm, Krapivsky, Laherrère, Li, Li, Lili Rong, Liljeros, Liu, Liu, Newman, Newman, Newman, Newman, Ozik, Ravasz, Saramäki, Serrano, Shuigeng Zhou, Szabó, Wang, Watts, Zhang, Zhang, Zhang, Zhang, Zhang, Zhang, Zhang, Zhongzhi Zhang, Zhou   +56 more
core   +1 more source

Meta‐analysis fails to show any correlation between protein abundance and ubiquitination changes

FEBS Open Bio, EarlyView.
We analyzed over 50 published proteomics datasets to explore the relationship between protein levels and ubiquitination changes across multiple experimental conditions and biological systems. Although ubiquitination is often associated with protein degradation, our analysis shows that changes in ubiquitination do not globally correlate with changes in ...
Nerea Osinalde, Unai Alduntzin, Gorka Prieto, Ugo Mayor   +3 more
wiley   +1 more source