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» Mixture models for analysis of melting temperature data
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PAKDD
2005
ACM
184views Data Mining» more  PAKDD 2005»
13 years 10 months ago
Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis
Mixture models, such as Gaussian Mixture Model, have been widely used in many applications for modeling data. Gaussian mixture model (GMM) assumes that data points are generated fr...
Luo Si, Rong Jin
BMCBI
2010
93views more  BMCBI 2010»
13 years 5 months ago
Hybridization thermodynamics of NimbleGen Microarrays
Background: While microarrays are the predominant method for gene expression profiling, probe signal variation is still an area of active research. Probe signal is sequence depend...
Ulrike Mückstein, Germán G. Leparc, Al...
BMCBI
2007
147views more  BMCBI 2007»
13 years 5 months ago
Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
Scott D. Zuyderduyn
INTERACTION
2009
ACM
13 years 11 months ago
Temporal-spatial association analysis of ocean salinity and temperature variations
Ocean circulation plays an important role in global climate change. In an effort to monitor ocean circulation an infrastructure of more than 3,000 buoys have been deployed in the ...
Yo-Ping Huang, Jung-Shian Jau, Frode Eika Sandnes
IDEAL
2005
Springer
13 years 10 months ago
Cluster Analysis of High-Dimensional Data: A Case Study
Abstract. Normal mixture models are often used to cluster continuous data. However, conventional approaches for fitting these models will have problems in producing nonsingular es...
Richard Bean, Geoffrey J. McLachlan