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EMO
2005
Springer
108views Optimization» more  EMO 2005»
15 years 3 months ago
Multi-objective Model Optimization for Inferring Gene Regulatory Networks
With the invention of microarray technology, researchers are able to measure the expression levels of ten thousands of genes in parallel at various time points of a biological proc...
Christian Spieth, Felix Streichert, Nora Speer, An...
BIOINFORMATICS
2006
124views more  BIOINFORMATICS 2006»
14 years 9 months ago
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Neil D. Lawrence, Magnus Rattra...
PAM
2009
Springer
15 years 4 months ago
Inferring Spammers in the Network Core
Despite a large amount of effort devoted in the past years trying to limit unsolicited mail, spam is still a major global concern. Content-analysis techniques and blacklists, the m...
Dominik Schatzmann, Martin Burkhart, Thrasyvoulos ...
NIPS
2007
14 years 11 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
15 years 4 months ago
Identifying graphs from noisy and incomplete data
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
Galileo Mark S. Namata Jr., Lise Getoor