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BMCBI
2008
166views more  BMCBI 2008»
13 years 10 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
BMCBI
2006
151views more  BMCBI 2006»
13 years 10 months ago
Modeling Sage data with a truncated gamma-Poisson model
Background: Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means t...
Helene H. Thygesen, Aeilko H. Zwinderman
JGS
2006
154views more  JGS 2006»
13 years 10 months ago
Area-to-point Kriging with inequality-type data
In practical applications of area-to-point spatial interpolation, inequality constraints, such as non-negativity, or more general constraints on the maximum and/or minimum allowab...
E.-H. Yoo, Phaedon C. Kyriakidis
SIAMSC
2010
141views more  SIAMSC 2010»
13 years 8 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes
SIGMOD
2010
ACM
211views Database» more  SIGMOD 2010»
14 years 3 months ago
ERACER: a database approach for statistical inference and data cleaning
Real-world databases often contain syntactic and semantic errors, in spite of integrity constraints and other safety measures incorporated into modern DBMSs. We present ERACER, an...
Chris Mayfield, Jennifer Neville, Sunil Prabhakar