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RECOMB
2002
Springer
15 years 10 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...
BMCBI
2004
150views more  BMCBI 2004»
14 years 9 months ago
Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data
Background: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals ...
Dietmar E. Martin, Philippe Demougin, Michael N. H...
BIODATAMINING
2008
178views more  BIODATAMINING 2008»
14 years 9 months ago
Clustering-based approaches to SAGE data mining
Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical appli...
Haiying Wang, Huiru Zheng, Francisco Azuaje
BIOINFORMATICS
2007
38views more  BIOINFORMATICS 2007»
14 years 9 months ago
Meta-analysis of gene expression data: a predictor-based approach
Irit Fishel, Alon Kaufman, Eytan Ruppin
BMCBI
2006
64views more  BMCBI 2006»
14 years 9 months ago
FM-test: a fuzzy-set-theory-based approach to differential gene expression data analysis
Lily R. Liang, Shiyong Lu, Xuena Wang, Yi Lu, Vina...