Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Computer Science/Numerical Analysis and Theoretical Computing"'
Publikováno v:
PLoS ONE
PLoS ONE, Vol 6, Iss 1, p e14468 (2011)
PLoS ONE, Vol 6, Iss 1, p e14468 (2011)
Background The visualization of large volumes of data is a computationally challenging task that often promises rewarding new insights. There is great potential in the application of new algorithms and models from combinatorial optimisation. Datasets
Publikováno v:
PLoS ONE
PLoS ONE, Vol 5, Iss 12, p e14067 (2010)
PLoS ONE, Vol 5, Iss 12, p e14067 (2010)
Clustering, particularly hierarchical clustering, is an important method for understanding and analysing data across a wide variety of knowledge domains with notable utility in systems where the data can be classified in an evolutionary context. This
Autor:
Roberto Chignola, Edoardo Milotti
Publikováno v:
PLoS ONE
PLoS ONE, Vol 5, Iss 11, p e13942 (2010)
PLoS ONE, Vol 5, Iss 11, p e13942 (2010)
Multicellular tumor spheroids are an important {\it in vitro} model of the pre-vascular phase of solid tumors, for sizes well below the diagnostic limit: therefore a biophysical model of spheroids has the ability to shed light on the internal working
Publikováno v:
PLoS ONE, Vol 5, Iss 9 (2010)
PLoS ONE
PLoS ONE
Background: Cell cooperation is a critical event during tissue development. We present the first precise metrics to quantify the interaction between mesenchymal stem cells (MSCs) and extra cellular matrix (ECM). In particular, we describe cooperative
Autor:
Riikka Rontu, Mikko Hurme, Leo-Pekka Lyytikäinen, Nina Mononen, Mika Kähönen, Markus Juonala, Olli T. Raitakari, Leena Taittonen, Terho Lehtimäki, Yue-Mei Fan, Tomi Laitinen, Carita Eklund, Sebastian Okser, Nina Hutri-Kähönen, Tero Aittokallio, Laura L. Elo, Nina Peltonen, Jorma Viikari, Jussi Hernesniemi
Publikováno v:
PLoS Genetics
PLoS Genetics, Vol 6, Iss 9, p e1001146 (2010)
PLoS Genetics, Vol 6, Iss 9, p e1001146 (2010)
The relative contribution of genetic risk factors to the progression of subclinical atherosclerosis is poorly understood. It is likely that multiple variants are implicated in the development of atherosclerosis, but the subtle genotypic and phenotypi
Publikováno v:
PLoS ONE, Vol 5, Iss 10, p e13055 (2010)
PLoS ONE
PLoS ONE
Therapies consisting of a combination of agents are an attractive proposition, especially in the context of diseases such as cancer, which can manifest with a variety of tumor types in a single case. However uncovering usable drug combinations is exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80abbe36243c0c63aac7fe6d50cf706d
https://hdl.handle.net/10453/122168
https://hdl.handle.net/10453/122168
Autor:
Ramon Ferrer-i-Cancho, Brita Elvevåg
Publikováno v:
PLoS ONE, Vol 5, Iss 3, p e9411 (2010)
PLoS ONE
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
PLoS ONE
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Background: Zipf's law states that the relationship between the frequency of a word in a text and its rank (the most frequent word has rank , the 2nd most frequent word has rank ,…) is approximately linear when plotted on a double logarithmic scale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2546f6bea2f860d821ec58209bcbb13b
https://hdl.handle.net/2117/175991
https://hdl.handle.net/2117/175991
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 6, Iss 3, p e1000701 (2010)
PLoS Computational Biology, Vol 6, Iss 3, p e1000701 (2010)
In principle it appears advantageous for single neurons to perform non-linear operations. Indeed it has been reported that some neurons show signatures of such operations in their electrophysiological response. A particular case in point is the Lobul
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 3, p e1000723 (2010)
PLoS Computational Biology
PLoS Computational Biology
Uropathogenic Escherichia coli (UPEC) represent the predominant cause of urinary tract infections (UTIs). A key UPEC molecular virulence mechanism is type 1 fimbriae, whose expression is controlled by the orientation of an invertible chromosomal DNA
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Public Library of Science, 2010, 6 (2), pp.1000678
PLoS Computational Biology, Public Library of Science, 2010, 6 (2), pp.1000678. ⟨10.1371/journal.pcbi.1000678⟩
PLoS Computational Biology, Vol 6, Iss 2, p e1000678 (2010)
Plos Computational Biology 2 (6), 1000678. (2010)
PLoS Computational Biology, 2010, 6 (2), pp.1000678. ⟨10.1371/journal.pcbi.1000678⟩
PLoS Computational Biology, Public Library of Science, 2010, 6 (2), pp.1000678
PLoS Computational Biology, Public Library of Science, 2010, 6 (2), pp.1000678. ⟨10.1371/journal.pcbi.1000678⟩
PLoS Computational Biology, Vol 6, Iss 2, p e1000678 (2010)
Plos Computational Biology 2 (6), 1000678. (2010)
PLoS Computational Biology, 2010, 6 (2), pp.1000678. ⟨10.1371/journal.pcbi.1000678⟩
Transcriptional activity has been shown to relate to the organization of chromosomes in the eukaryotic nucleus and in the bacterial nucleoid. In particular, highly transcribed genes, RNA polymerases and transcription factors gather into discrete spat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2920d183b65e234a94e0460b51df2b8e
https://hal.archives-ouvertes.fr/hal-00484355
https://hal.archives-ouvertes.fr/hal-00484355