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BMCBI
2008
114views more  BMCBI 2008»
13 years 5 months ago
Partial mixture model for tight clustering of gene expression time-course
Background: Tight clustering arose recently from a desire to obtain tighter and potentially more informative clusters in gene expression studies. Scattered genes with relatively l...
Yinyin Yuan, Chang-Tsun Li, Roland Wilson
NIPS
2008
13 years 7 months ago
A mixture model for the evolution of gene expression in non-homogeneous datasets
We address the challenge of assessing conservation of gene expression in complex, non-homogeneous datasets. Recent studies have demonstrated the success of probabilistic models in...
Gerald Quon, Yee Whye Teh, Esther Chan, Timothy R....
BMCBI
2004
158views more  BMCBI 2004»
13 years 5 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
IJNS
2006
37views more  IJNS 2006»
13 years 5 months ago
Mixture Models for Detecting Differentially Expressed Genes in Microarrays
Liat Ben-Tovim Jones, Richard Bean, Geoffrey J. Mc...
BIOINFORMATICS
2002
72views more  BIOINFORMATICS 2002»
13 years 5 months ago
Mixture modelling of gene expression data from microarray experiments
Debashis Ghosh, Arul M. Chinnaiyan