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BIOINFORMATICS
2007
190views more  BIOINFORMATICS 2007»
14 years 9 months ago
Towards clustering of incomplete microarray data without the use of imputation
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
Dae-Won Kim, Ki Young Lee, Kwang H. Lee, Doheon Le...
BMCBI
2008
88views more  BMCBI 2008»
14 years 9 months ago
Microarray-based gene set analysis: a comparison of current methods
Background: The analysis of gene sets has become a popular topic in recent times, with researchers attempting to improve the interpretability and reproducibility of their microarr...
Sarah Song, Michael A. Black
BIBE
2004
IEEE
107views Bioinformatics» more  BIBE 2004»
15 years 1 months ago
Enhanced pClustering and Its Applications to Gene Expression Data
Clustering has been one of the most popular methods to discover useful biological insights from DNA microarray. An interesting paradigm is simultaneous clustering of both genes an...
Sungroh Yoon, Christine Nardini, Luca Benini, Giov...
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BMCBI
2007
139views more  BMCBI 2007»
14 years 9 months ago
Significance analysis of microarray transcript levels in time series experiments
Background: Microarray time series studies are essential to understand the dynamics of molecular events. In order to limit the analysis to those genes that change expression over ...
Barbara Di Camillo, Gianna Toffolo, Sreekumaran K....
BMCBI
2006
118views more  BMCBI 2006»
14 years 9 months ago
Statistical analysis of an RNA titration series evaluates microarray precision and sensitivity on a whole-array basis
Background: Concerns are often raised about the accuracy of microarray technologies and the degree of cross-platform agreement, but there are yet no methods which can unambiguousl...
Andrew J. Holloway, Alicia Oshlack, Dileepa S. Diy...