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» Linear Modeling of Genetic Networks from Experimental Data
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BMCBI
2010
151views more  BMCBI 2010»
14 years 10 months ago
Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
64
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ICRA
1998
IEEE
106views Robotics» more  ICRA 1998»
15 years 2 months ago
Learning a Linear Association of Drilling Profiles in Stapedotomy Surgery
The two-level fuzzy-lattice (2L-FL) learning scheme is introduced for application on an intelligent surgical (mechatronic) drill in the stapedotomy surgical procedure in the ear. ...
Vassilis G. Kaburlasos, Vassilios Petridis, Peter ...
ICANN
2010
Springer
14 years 11 months ago
Discovery of Exogenous Variables in Data with More Variables Than Observations
Many statistical methods have been proposed to estimate causal models in classical situations with fewer variables than observations. However, modern datasets including gene expres...
Yasuhiro Sogawa, Shohei Shimizu, Aapo Hyvärin...
BMCBI
2008
109views more  BMCBI 2008»
14 years 10 months ago
Merging microsatellite data: enhanced methodology and software to combine genotype data for linkage and association analysis
Background: Correctly merged data sets that have been independently genotyped can increase statistical power in linkage and association studies. However, alleles from microsatelli...
Angela P. Presson, Eric M. Sobel, Paivi Pajukanta,...
BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
14 years 10 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya