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» Inferring Genetic Networks from Microarray Data
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BMCBI
2006
124views more  BMCBI 2006»
14 years 11 months ago
Network-based de-noising improves prediction from microarray data
Background: Prediction of human cell response to anti-cancer drugs (compounds) from microarray data is a challenging problem, due to the noise properties of microarrays as well as...
Tsuyoshi Kato, Yukio Murata, Koh Miura, Kiyoshi As...
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 3 months ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba
NDSS
2007
IEEE
15 years 6 months ago
Playing Devil's Advocate: Inferring Sensitive Information from Anonymized Network Traces
Encouraging the release of network data is central to promoting sound network research practices, though the publication of this data can leak sensitive information about the publ...
Scott E. Coull, Charles V. Wright, Fabian Monrose,...
BMCBI
2006
131views more  BMCBI 2006»
14 years 11 months ago
Hybridization interactions between probesets in short oligo microarrays lead to spurious correlations
Background: Microarrays measure the binding of nucleotide sequences to a set of sequence specific probes. This information is combined with annotation specifying the relationship ...
Michal J. Okoniewski, Crispin J. Miller
BMCBI
2007
165views more  BMCBI 2007»
14 years 12 months ago
Direct maximum parsimony phylogeny reconstruction from genotype data
Background: Maximum parsimony phylogenetic tree reconstruction from genetic variation data is a fundamental problem in computational genetics with many practical applications in p...
Srinath Sridhar, Fumei Lam, Guy E. Blelloch, R. Ra...