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» Detecting multivariate differentially expressed genes
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BMCBI
2004
90views more  BMCBI 2004»
13 years 7 months ago
Statistical monitoring of weak spots for improvement of normalization and ratio estimates in microarrays
Background: Several aspects of microarray data analysis are dependent on identification of genes expressed at or near the limits of detection. For example, regression-based normal...
Igor Dozmorov, Nicholas Knowlton, Yuhong Tang, Mic...
BMCBI
2008
138views more  BMCBI 2008»
13 years 7 months ago
M-BISON: Microarray-based integration of data sources using networks
Background: The accurate detection of differentially expressed (DE) genes has become a central task in microarray analysis. Unfortunately, the noise level and experimental variabi...
Bernie J. Daigle Jr., Russ B. Altman
BMCBI
2006
82views more  BMCBI 2006»
13 years 7 months ago
Profiling alternatively spliced mRNA isoforms for prostate cancer classification
Background: Prostate cancer is one of the leading causes of cancer illness and death among men in the United States and world wide. There is an urgent need to discover good biomar...
Chaolin Zhang, Hai-Ri Li, Jian-Bing Fan, Jessica W...
BMCBI
2005
106views more  BMCBI 2005»
13 years 7 months ago
A multistep bioinformatic approach detects putative regulatory elements in gene promoters
Background: Searching for approximate patterns in large promoter sequences frequently produces an exceedingly high numbers of results. Our aim was to exploit biological knowledge ...
Stefania Bortoluzzi, Alessandro Coppe, Andrea Biso...
BMCBI
2008
124views more  BMCBI 2008»
13 years 7 months ago
A probe-treatment-reference (PTR) model for the analysis of oligonucleotide expression microarrays
Background: Microarray pre-processing usually consists of normalization and summarization. Normalization aims to remove non-biological variations across different arrays. The norm...
Huanying Ge, Chao Cheng, Lei M. Li