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BMCBI
2010
176views more  BMCBI 2010»
14 years 9 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
GECCO
2005
Springer
180views Optimization» more  GECCO 2005»
15 years 2 months ago
Inference of gene regulatory networks using s-system and differential evolution
In this work we present an improved evolutionary method for inferring S-system model of genetic networks from the time series data of gene expression. We employed Differential Ev...
Nasimul Noman, Hitoshi Iba
PAKDD
2005
ACM
180views Data Mining» more  PAKDD 2005»
15 years 2 months ago
Conditional Random Fields for Transmembrane Helix Prediction
Abstract. It is estimated that 20% of genes in the human genome encode for integral membrane proteins (IMPs) and some estimates are much higher. IMPs control a broad range of event...
Lior Lukov, Sanjay Chawla, W. Bret Church
GCB
2009
Springer
154views Biometrics» more  GCB 2009»
15 years 1 months ago
Comparative Identification of Differential Interactions from Trajectories of Dynamic Biological Networks
Abstract: It is often challenging to reconstruct accurately a complete dynamic biological network due to the scarcity of data collected in cost-effective experiments. This paper ad...
Zhengyu Ouyang, Mingzhou Song
DATE
2010
IEEE
171views Hardware» more  DATE 2010»
15 years 2 months ago
Digital statistical analysis using VHDL
—Variations of process parameters have an important impact on reliability and yield in deep sub micron IC technologies. One methodology to estimate the influence of these effects...
Manfred Dietrich, Uwe Eichler, Joachim Haase