Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Aristotelis Kittas"'
Publikováno v:
PLoS ONE, Vol 9, Iss 7, p e101357 (2014)
Community structure detection has proven to be important in revealing the underlying organisation of complex networks. While most current analyses focus on static networks, the detection of communities in dynamic data is both challenging and timely.
Externí odkaz:
https://doaj.org/article/552119a9d1d74017b97d6738f86b81b9
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e112821 (2014)
Community structure detection has proven to be important in revealing the underlying properties of complex networks. The standard problem, where a partition of disjoint communities is sought, has been continually adapted to offer more realistic model
Externí odkaz:
https://doaj.org/article/e475ba94012440ad98b49a3974130dff
We present a new approach for determining the dynamic behaviour of cells over an extended period. The approach is used to explore the behavior of erythroid cells over a period of twenty four hours using microarray gene expression profiles. The initia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::468396ac6f6639ebc3b65e0b3ddfa8b4
https://doi.org/10.1016/b978-0-444-63965-3.50460-8
https://doi.org/10.1016/b978-0-444-63965-3.50460-8
Publikováno v:
FEBS Journal. 279:3462-3474
Despite the increasing number of growth factor-related signalling networks, their lack of logical and causal connection to factual changes in cell states frequently impairs the functional interpretation of microarray data. We present a novel method e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::034aa0d36e1f0ae4cce957fe2169b0e6
https://doi.org/10.1111/j.1742-4658.2012.08616.x
https://doi.org/10.1111/j.1742-4658.2012.08616.x
Publikováno v:
Kittas, A, Barozet, A, Sereshti, J, Grabe, N & Tsoka, S 2015, ' CytoASP : A Cytoscape app for qualitative consistency reasoning, prediction and repair in biological networks ', Bmc Systems Biology . https://doi.org/10.1186/s12918-015-0179-6
BMC Systems Biology
BMC Systems Biology
Background: Qualitative reasoning frameworks, such as the Sign Consistency Model (SCM), enable modelling regulatory networks to check whether observed behaviour can be explained or if unobserved behaviour can be predicted. The BioASP software collect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d9403420a5fa31276cddd40005898a4
https://kclpure.kcl.ac.uk/en/publications/8d5ba259-3d9a-4ef8-9c1d-8f3a63cd40ce
https://kclpure.kcl.ac.uk/en/publications/8d5ba259-3d9a-4ef8-9c1d-8f3a63cd40ce
Autor:
Aristotelis Kittas, Kai Breuhahn, Carito Guziolowski, Sabrina Schmitt, Aurélien Delobelle, Niels Grabe
Publikováno v:
FEBS Journal
FEBS Journal, Wiley, 2016, 283 (2), pp.350-360. ⟨10.1111/febs.13580⟩
FEBS Journal, Wiley, 2016, 283 (2), pp.350-360. ⟨10.1111/febs.13580⟩
An effective means to analyze mRNA expression data is to take advantage of established knowledge from pathway databases, using methods such as pathway-enrichment analyses. However, pathway databases are not case-specific and expression data could be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01352e92fd0633ec0668ba52a49fded9
https://pubmed.ncbi.nlm.nih.gov/26518250
https://pubmed.ncbi.nlm.nih.gov/26518250
Publikováno v:
Physical Review E. 91
We study the problem of a particle/message that travels as a biased random walk towards a target node in a network in the presence of traps. The bias is represented as the probability $p$ of the particle to travel along the shortest path to the targe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b2edfaa81b3b43adeb578eb077acb02
https://doi.org/10.1103/physreve.91.012817
https://doi.org/10.1103/physreve.91.012817
Publikováno v:
Scientific Reports
Bennett, L, Kittas, A, Muirhead, G, Papageorgiou, L G & Tsoka, S 2015, ' Detection of composite communities in multiplex biological networks ', Scientific Reports, vol. 5, 10345 . https://doi.org/10.1038/srep10345
Bennett, L, Kittas, A, Muirhead, G, Papageorgiou, L G & Tsoka, S 2015, ' Detection of composite communities in multiplex biological networks ', Scientific Reports, vol. 5, 10345 . https://doi.org/10.1038/srep10345
The detection of community structure is a widely accepted means of investigating the principles governing biological systems. Recent efforts are exploring ways in which multiple data sources can be integrated to generate a more comprehensive model of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfb065646d8eb315e5ef129d65d434ef
https://pubmed.ncbi.nlm.nih.gov/26012716
https://pubmed.ncbi.nlm.nih.gov/26012716
Autor:
Frank O. Nestle, Sophia Tsoka, Aristotelis Kittas, Chrysanthi Ainali, Lazaros G. Papageorgiou, Lingjian Yang
Publikováno v:
Mathematical biosciences. 260
In microarray data analysis, traditional methods that focus on single genes are increasingly replaced by methods that analyse functional units corresponding to biochemical pathways, as these are considered to offer more insight into gene expression a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daf05a03d3ea2b926c486734ddc2a14d
https://pubmed.ncbi.nlm.nih.gov/25242610
https://pubmed.ncbi.nlm.nih.gov/25242610
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e112821 (2014)
PLoS ONE
PLoS ONE
Community structure detection has proven to be important in revealing the underlying properties of complex networks. The standard problem, where a partition of disjoint communities is sought, has been continually adapted to offer more realistic model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fc7da0ed176bccdec2d1b38a9e303eb
http://europepmc.org/articles/PMC4239042?pdf=render
http://europepmc.org/articles/PMC4239042?pdf=render