Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Kevin E Bassler"'
Publikováno v:
Journal of Physics: Complexity, Vol 4, Iss 2, p 025001 (2023)
Various attempts have been made in recent years to solve the resolution limit (RL) problem in community detection by considering variants of modularity in the detection algorithms. These objective functions purportedly largely mitigate the RL problem
Externí odkaz:
https://doaj.org/article/732524ed77f14c25bea513a85312a72b
Publikováno v:
New Journal of Physics, Vol 23, Iss 2, p 023002 (2021)
We study a method for detecting the origins of anomalous diffusion, when it is observed in an ensemble of times-series, generated experimentally or numerically, without having knowledge about the exact underlying dynamics. The reasons for anomalous d
Externí odkaz:
https://doaj.org/article/a8d7282dcd0b4d45ba5066e78d4ac40f
Publikováno v:
New Journal of Physics, Vol 20, Iss 11, p 113033 (2018)
We decompose the anomalous diffusive behavior found in an aging system into its fundamental constitutive causes. The model process is a sum of increments that are iterates of a chaotic dynamical system, the Pomeau–Manneville map. The increments can
Externí odkaz:
https://doaj.org/article/500b3afba81446ab996c816c53cce657
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 2, p e1002391 (2012)
Determining the functional structure of biological networks is a central goal of systems biology. One approach is to analyze gene expression data to infer a network of gene interactions on the basis of their correlated responses to environmental and
Externí odkaz:
https://doaj.org/article/94fff04b19e84b349541254affecb6c4
Publikováno v:
PLoS ONE, Vol 5, Iss 4, p e10012 (2010)
Uniform sampling from graphical realizations of a given degree sequence is a fundamental component in simulation-based measurements of network observables, with applications ranging from epidemics, through social networks to Internet modeling. Existi
Externí odkaz:
https://doaj.org/article/17c18ded162e42e9bcd2b22f4f6bed22
Publikováno v:
New Journal of Physics, Vol 17, Iss 8, p 083052 (2015)
Many real-world networks exhibit correlations between the node degrees. For instance, in social networks nodes tend to connect to nodes of similar degree and conversely, in biological and technological networks, high-degree nodes tend to be linked wi
Externí odkaz:
https://doaj.org/article/4b8febd30ec64df28df28731c8d9393f
Publikováno v:
New Journal of Physics, Vol 15, Iss 10, p 103018 (2013)
Inspired by experimental observations of the enhancement of superconductivity at the twin-boundary (TB) in slightly electron doped Ba(Ca)(FeAs) _2 where a strong 2 × 1 antiferromagnetic collinear order is in presence, we investigate theoretically th
Externí odkaz:
https://doaj.org/article/2a2953e38eee444ba138dfa864b21f76
Autor:
Rinki Chauhan, Janani Ravi, Pratik Datta, Tianlong Chen, Dirk Schnappinger, Kevin E. Bassler, Gábor Balázsi, Maria Laura Gennaro
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-12 (2016)
Sigma factors are regulatory proteins that reprogram the bacterial RNA polymerase in response to stress conditions to transcribe certain genes, including those for other sigma factors. Here, Chauhan et al. describe the complete sigma factor regulator
Externí odkaz:
https://doaj.org/article/f5a0a34f52fb459c82e9b951c157c028
Identifying functionally-cohesive gene communities from large data sets of expression data for individual genes is a key approach to understanding the molecular components of biological processes. Here, we compare the accuracy of twelve different app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70bbc80e0cacea641595c633643aea5c
https://doi.org/10.1101/2022.12.28.522153
https://doi.org/10.1101/2022.12.28.522153
The structure of neural circuitry plays a crucial role in brain function. Previous studies of brain organization generally had to trade off between coarse descriptions at a large scale and fine descriptions on a small scale. Researchers have now reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f33e998f489a993eee5a79b4e07e1396
https://doi.org/10.1101/2022.11.23.517722
https://doi.org/10.1101/2022.11.23.517722