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BMCBI
2007
153views more  BMCBI 2007»
15 years 1 months ago
Estimating genealogies from linked marker data: a Bayesian approach
Background: Answers to several fundamental questions in statistical genetics would ideally require knowledge of the ancestral pedigree and of the gene flow therein. A few examples...
Dario Gasbarra, Matti Pirinen, Mikko J. Sillanp&au...
BIOINFORMATICS
2010
170views more  BIOINFORMATICS 2010»
15 years 1 months ago
Joint estimation of DNA copy number from multiple platforms
DNA copy number variants (CNV) are gains and losses of segments of chromosomes, and comprise an important class of genetic variation. Recently, various microarray hybridization ba...
Nancy R. Zhang, Yasin Senbabaoglu, Jun Z. Li
TIP
2002
110views more  TIP 2002»
15 years 1 months ago
Localization based on DEM matching using multiple aerial image pairs
This paper proposes the localization algorithm that estimates translation parameters of an aircraft by comparing the sampled elevation map recovered from aerial sequence images, an...
Dong-Gyu Sim, Rae-Hong Park
ICML
1999
IEEE
16 years 2 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
CSDA
2007
151views more  CSDA 2007»
15 years 1 months ago
Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments
An important goal of microarray studies is the detection of genes that show significant changes in observed expressions when two or more classes of biological samples such as tre...
Marco Alfò, Alessio Farcomeni, Luca Tardell...