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BMCBI
2008
115views more  BMCBI 2008»
13 years 10 months ago
Genome-scale cluster analysis of replicated microarrays using shrinkage correlation coefficient
Background: Currently, clustering with some form of correlation coefficient as the gene similarity metric has become a popular method for profiling genomic data. The Pearson corre...
Jianchao Yao, Chunqi Chang, Mari L. Salmi, Yeung S...
IDA
2009
Springer
14 years 4 months ago
Bayesian Robust PCA for Incomplete Data
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
Jaakko Luttinen, Alexander Ilin, Juha Karhunen
BMCBI
2004
208views more  BMCBI 2004»
13 years 9 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
BMCBI
2005
112views more  BMCBI 2005»
13 years 9 months ago
Towards precise classification of cancers based on robust gene functional expression profiles
Background: Development of robust and efficient methods for analyzing and interpreting high dimension gene expression profiles continues to be a focus in computational biology. Th...
Zheng Guo, Tianwen Zhang, Xia Li, Qi Wang, Jianzhe...
BMCBI
2010
100views more  BMCBI 2010»
13 years 10 months ago
Efficiency clustering for low-density microarrays and its application to QPCR
Background: Pathway-targeted or low-density arrays are used more and more frequently in biomedical research, particularly those arrays that are based on quantitative real-time PCR...
Eric F. Lock, Ryan Ziemiecki, J. S. Marron, Dirk P...