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» An integrative approach to modeling biological networks
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BMCBI
2007
114views more  BMCBI 2007»
13 years 7 months ago
Mining and state-space modeling and verification of sub-networks from large-scale biomolecular networks
Background: Biomolecular networks dynamically respond to stimuli and implement cellular function. Understanding these dynamic changes is the key challenge for cell biologists. As ...
Xiaohua Hu, Fang-Xiang Wu
BIBM
2008
IEEE
175views Bioinformatics» more  BIBM 2008»
14 years 2 months ago
Integrative Protein Function Transfer Using Factor Graphs and Heterogeneous Data Sources
We propose a novel approach for predicting protein functions of an organism by coupling sequence homology and PPI data between two (or more) species with multifunctional Gene Onto...
Antonina Mitrofanova, Vladimir Pavlovic, Bud Mishr...
ASWC
2009
Springer
13 years 8 months ago
Semantic Rules on Drug Discovery Data
Aggregating and presenting a wide variety of information pertinent to the biological and pharmacological effects of chemical compounds will be a critical part of 21st century drug ...
Sashikiran Challa, David J. Wild, Ying Ding, Qian ...
TSMC
2008
94views more  TSMC 2008»
13 years 7 months ago
Queuing Network Modeling of a Real-Time Psychophysiological Index of Mental Workload - P300 in Event-Related Potential (ERP)
Modeling and predicting of mental workload are among the most important issues in studying human performance in complex systems. Ample research has shown that the amplitude of the ...
Changxu Wu, Yili Liu, C. M. Quinn-Walsh
IJCNN
2008
IEEE
14 years 2 months ago
Self-organizing neural models integrating rules and reinforcement learning
— Traditional approaches to integrating knowledge into neural network are concerned mainly about supervised learning. This paper presents how a family of self-organizing neural m...
Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan