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» Modeling Gene Networks using Fuzzy Logic
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104
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ICNS
2007
IEEE
15 years 10 months ago
Combination of Zero-Forcing Nulling and Fuzzy Parallel Multistage Detection for MIMO Systems
We propose zero-forcing (ZF) nulling followed by fuzzy parallel multistage detection for multi-input multi-output system. The parallel detector consists of two or more stages, the...
Tseng Shu-Ming, Yu Hung-Chieh, Huang Yao-Min
BMCBI
2010
97views more  BMCBI 2010»
14 years 11 months ago
A semi-parametric Bayesian model for unsupervised differential co-expression analysis
Background: Differential co-expression analysis is an emerging strategy for characterizing disease related dysregulation of gene expression regulatory networks. Given pre-defined ...
Johannes M. Freudenberg, Siva Sivaganesan, Michael...
IDA
2005
Springer
15 years 9 months ago
Bayesian Networks Learning for Gene Expression Datasets
DNA arrays yield a global view of gene expression and can be used to build genetic networks models, in order to study relations between genes. Literature proposes Bayesian network ...
Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi...
160
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EVOW
2010
Springer
15 years 10 months ago
Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions
DEODHAR, SUSHAMNA DEODHAR. Using Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions in Genetic Epidemiology. (Under the direction of Dr. Alison Motsinger-Re...
Sushamna Deodhar, Alison A. Motsinger-Reif
168
Voted
BMCBI
2011
14 years 11 months ago
Multivariate analysis of microarray data: differential expression and differential connection
Background: Typical analysis of microarray data ignores the correlation between gene expression values. In this paper we present a model for microarray data which specifically all...
Harri T. Kiiveri