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BIOCOMP
2008
15 years 6 months ago
Reverse Engineering Module Networks by PSO-RNN Hybrid Modeling
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
ICIS
2004
15 years 6 months ago
Are Digital Rights Valuable? Theory and Evidence from the eBook Industry
The effective management of digital rights is a crucial challenge in many industries making the transition from physical to digital products. We present an economic model that cha...
Gal Oestreicher-Singer, Arun Sundararajan
NIPS
2000
15 years 6 months ago
The Use of MDL to Select among Computational Models of Cognition
How should we decide among competing explanations of a cognitive process given limited observations? The problem of model selection is at the heart of progress in cognitive scienc...
In Jae Myung, Mark A. Pitt, Shaobo Zhang, Vijay Ba...
BMCBI
2010
96views more  BMCBI 2010»
15 years 4 months ago
sdef: an R package to synthesize lists of significant features in related experiments
Background: In microarray studies researchers are often interested in the comparison of relevant quantities between two or more similar experiments, involving different treatments...
Marta Blangiardo, Alberto Cassese, Sylvia Richards...
BMCBI
2010
176views more  BMCBI 2010»
15 years 4 months ago
Reverse engineering gene regulatory network from microarray data using linear time-variant model
nd: Gene regulatory network is an abstract mapping of gene regulations in living cells that can help to predict the system behavior of living organisms. Such prediction capability...
Mitra Kabir, Nasimul Noman, Hitoshi Iba