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» Modeling interactome: scale-free or geometric
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TNN
2010
147views Management» more  TNN 2010»
13 years 15 days ago
Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks
In this paper we provide theoretical and numerical analysis of a geometric activity flow network model which is aimed at explaining mathematically the scale-free functional graph s...
J. Piersa, Filip Piekniewski, Tomasz Schreiber
BMCBI
2005
97views more  BMCBI 2005»
13 years 5 months ago
The yeast kinome displays scale free topology with functional hub clusters
Background: The availability of interaction databases provides an opportunity for researchers to utilize immense amounts of data exclusively in silico. Recently there has been an ...
Robin E. C. Lee, Lynn A. Megeney
BIOINFORMATICS
2004
56views more  BIOINFORMATICS 2004»
13 years 5 months ago
Modeling interactome: scale-free or geometric?
Natasa Przulj, Derek G. Corneil, Igor Jurisica
BMCBI
2007
202views more  BMCBI 2007»
13 years 5 months ago
ProtNet: a tool for stochastic simulations of protein interaction networks dynamics
Background: Protein interactions support cell organization and mediate its response to any specific stimulus. Recent technological advances have produced large data-sets that aim ...
Massimo Bernaschi, Filippo Castiglione, Alessandra...
CSDA
2006
98views more  CSDA 2006»
13 years 5 months ago
Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...
Jukka Jokinen