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» Linear Modeling of Genetic Networks from Experimental Data
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BMCBI
2005
169views more  BMCBI 2005»
13 years 5 months ago
Genetic interaction motif finding by expectation maximization - a novel statistical model for inferring gene modules from synthe
Background: Synthetic lethality experiments identify pairs of genes with complementary function. More direct functional associations (for example greater probability of membership...
Yan Qi 0003, Ping Ye, Joel S. Bader
GRC
2005
IEEE
13 years 11 months ago
A linear control model for gene intervention in a genetic regulatory network
In this paper, we propose a linear control model for gene intervention in a genetic regulatory network. At each time step, finite controls are allowed to drive the network states...
Shuqin Zhang, Michael K. Ng, Wai-Ki Ching, Tatsuya...
ISCI
2008
165views more  ISCI 2008»
13 years 5 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
13 years 11 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
BMCBI
2006
112views more  BMCBI 2006»
13 years 5 months ago
A correlated motif approach for finding short linear motifs from protein interaction networks
Background: An important class of interaction switches for biological circuits and disease pathways are short binding motifs. However, the biological experiments to find these bin...
Soon-Heng Tan, Hugo Willy, Wing-Kin Sung, See-Kion...