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» Analysis of variance components in gene expression data
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BIB
2008
75views more  BIB 2008»
14 years 9 months ago
Gene-set approach for expression pattern analysis
Recently developed gene set analysis methods evaluate differential expression patterns of gene groups instead of those of individual genes. This approach especially targets gene g...
Dougu Nam, Seon-Young Kim
BMCBI
2010
208views more  BMCBI 2010»
14 years 9 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
JBI
2007
138views Bioinformatics» more  JBI 2007»
14 years 9 months ago
Towards knowledge-based gene expression data mining
ct 10 The field of gene expression data analysis has grown in the past few years from being purely data-centric to integrative, aiming at 11 complementing microarray analysis with...
Riccardo Bellazzi, Blaz Zupan
BMCBI
2006
115views more  BMCBI 2006»
14 years 9 months ago
Multivariate curve resolution of time course microarray data
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
Peter D. Wentzell, Tobias K. Karakach, Sushmita Ro...
BMCBI
2008
132views more  BMCBI 2008»
14 years 9 months ago
Very Important Pool (VIP) genes - an application for microarray-based molecular signatures
Background: Advances in DNA microarray technology portend that molecular signatures from which microarray will eventually be used in clinical environments and personalized medicin...
Zhenqiang Su, Huixiao Hong, Hong Fang, Leming M. S...