Zobrazeno 1 - 10
of 235
pro vyhledávání: '"Peter Csermely"'
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 12, p e1007974 (2020)
Graph theoretical analyses of nervous systems usually omit the aspect of connection polarity, due to data insufficiency. The chemical synapse network of Caenorhabditis elegans is a well-reconstructed directed network, but the signs of its connections
Externí odkaz:
https://doaj.org/article/cedb463cd6164f4799ae406864e589b3
Autor:
Kuljeet Singh Sandhu, Guoliang Li, Huay Mei Poh, Yu Ling Kelly Quek, Yee Yen Sia, Su Qin Peh, Fabianus Hendriyan Mulawadi, Joanne Lim, Mile Sikic, Francesca Menghi, Anbupalam Thalamuthu, Wing Kin Sung, Xiaoan Ruan, Melissa Jane Fullwood, Edison Liu, Peter Csermely, Yijun Ruan
Publikováno v:
Cell Reports, Vol 2, Iss 5, Pp 1207-1219 (2012)
Chromatin interactions play important roles in transcription regulation. To better understand the underlying evolutionary and functional constraints of these interactions, we implemented a systems approach to examine RNA polymerase-II-associated chro
Externí odkaz:
https://doaj.org/article/e2f6cc497d14497286a90fc278c66109
Autor:
Peter Csermely, Mojca Juriševič
Publikováno v:
Center for Educational Policy Studies Journal, Vol 4, Iss 3 (2014)
Externí odkaz:
https://doaj.org/article/2de55007918847cfae4a3b27c4b22d1a
Autor:
Gabor I Simko, Peter Csermely
Publikováno v:
PLoS ONE, Vol 8, Iss 6, p e67159 (2013)
Cooperation played a significant role in the self-organization and evolution of living organisms. Both network topology and the initial position of cooperators heavily affect the cooperation of social dilemma games. We developed a novel simulation pr
Externí odkaz:
https://doaj.org/article/669a1a4b794c44eeb50f4b2d4a25e972
Autor:
Kristóf Z Szalay, Peter Csermely
Publikováno v:
PLoS ONE, Vol 8, Iss 10, p e78059 (2013)
Analysis of network dynamics became a focal point to understand and predict changes of complex systems. Here we introduce Turbine, a generic framework enabling fast simulation of any algorithmically definable dynamics on very large networks. Using a
Externí odkaz:
https://doaj.org/article/2aa673c1063f4210a0d64ac0ef437b7a
Autor:
Ágoston Mihalik, Peter Csermely
Publikováno v:
PLoS Computational Biology, Vol 7, Iss 10, p e1002187 (2011)
Network analysis became a powerful tool giving new insights to the understanding of cellular behavior. Heat shock, the archetype of stress responses, is a well-characterized and simple model of cellular dynamics. S. cerevisiae is an appropriate model
Externí odkaz:
https://doaj.org/article/ce364966cdf14583bd4d242aef701ad1
Publikováno v:
PLoS ONE, Vol 5, Iss 9, p e12489 (2010)
BACKGROUND: Network communities help the functional organization and evolution of complex networks. However, the development of a method, which is both fast and accurate, provides modular overlaps and partitions of a heterogeneous network, has proven
Externí odkaz:
https://doaj.org/article/13891fea32c84d07b48e61ba820f0fc3
Publikováno v:
PLoS ONE, Vol 3, Iss 4, p e1917 (2008)
Cooperation plays a key role in the evolution of complex systems. However, the level of cooperation extensively varies with the topology of agent networks in the widely used models of repeated games. Here we show that cooperation remains rather stabl
Externí odkaz:
https://doaj.org/article/8f733f615d5f4376902c34b8805c1f81
Autor:
Sebestyén Kamp, János Molnár, Borbála M Kovács, Klára Schulc, Peter Csermely, Zsolt T Nagy, Daniel V. Veres
Publikováno v:
The Journal of Physical Chemistry. B
Network science is an emerging tool in systems biology and oncology, providing novel, system-level insight into the development of cancer. The aim of this project was to study the signaling networks in the process of oncogenesis to explore the adapti
Autor:
Peter Csermely
Publikováno v:
From Giftedness to Gifted Education Reflecting Theory in Practice ISBN: 9781003235262
From Giftedness to Gifted Education Reflecting Theory in Practice
From Giftedness to Gifted Education Reflecting Theory in Practice
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ef5bcb8103355c4a89ef2a3ffc9bdd8
https://doi.org/10.4324/9781003235262-13
https://doi.org/10.4324/9781003235262-13