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BMCBI
2008
87views more  BMCBI 2008»
13 years 5 months ago
Global rank-invariant set normalization (GRSN) to reduce systematic distortions in microarray data
Background: Microarray technology has become very popular for globally evaluating gene expression in biological samples. However, non-linear variation associated with the technolo...
Carl R. Pelz, Molly Kulesz-Martin, Grover Bagby, R...
CIBCB
2006
IEEE
13 years 11 months ago
A Systematic Computational Approach for Transcription Factor Target Gene Prediction
— Computational prediction of transcription factor’s binding sites and regulatory target genes has great value to the biological studies of cellular process. Existing practices...
Ji He, Xinbin Dai, Xuechun Zhao
BIODATAMINING
2008
130views more  BIODATAMINING 2008»
13 years 5 months ago
Uncovering mechanisms of transcriptional regulations by systematic mining of cis regulatory elements with gene expression profil
Background: Contrary to the traditional biology approach, where the expression patterns of a handful of genes are studied at a time, microarray experiments enable biologists to st...
Qicheng Ma, Gung-Wei Chirn, Joseph D. Szustakowski...
BMCBI
2002
188views more  BMCBI 2002»
13 years 5 months ago
The limit fold change model: A practical approach for selecting differentially expressed genes from microarray data
Background: The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic an...
David M. Mutch, Alvin Berger, Robert Mansourian, A...
BMCBI
2008
135views more  BMCBI 2008»
13 years 5 months ago
Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data
Background: Normalization is essential in dual-labelled microarray data analysis to remove nonbiological variations and systematic biases. Many normalization methods have been use...
Huiling Xiong, Dapeng Zhang, Christopher J. Martyn...