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SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
13 years 9 months ago
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
BMCBI
2008
142views more  BMCBI 2008»
13 years 7 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
BMCBI
2008
153views more  BMCBI 2008»
13 years 7 months ago
2DB: a Proteomics database for storage, analysis, presentation, and retrieval of information from mass spectrometric experiments
Background: The amount of information stemming from proteomics experiments involving (multi dimensional) separation techniques, mass spectrometric analysis, and computational anal...
Jens Allmer, Sebastian Kuhlgert, Michael Hippler
BMCBI
2007
99views more  BMCBI 2007»
13 years 7 months ago
The Deuterator: software for the determination of backbone amide deuterium levels from H/D exchange MS data
Background: The combination of mass spectrometry and solution phase amide hydrogen/deuterium exchange (H/D exchange) experiments is an effective method for characterizing protein ...
B. D. Pascal, M. J. Chalmers, S. A. Busby, C. C. M...
CORR
2006
Springer
152views Education» more  CORR 2006»
13 years 7 months ago
On Reduced Complexity Soft-Output MIMO ML detection
In multiple-input multiple-output (MIMO) fading channels maximum likelihood (ML) detection is desirable to achieve high performance, but its complexity grows exponentially with th...
Massimiliano Siti, Michael P. Fitz