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» New analysis and results for the Frank-Wolfe method
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TCBB
2010
136views more  TCBB 2010»
15 years 1 days ago
Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data
— The recent development of methods for extracting precise measurements of spatial gene expression patterns from three-dimensional (3D) image data opens the way for new analyses ...
Oliver Rübel, Gunther H. Weber, Min-Yu Huang,...
BMCBI
2004
158views more  BMCBI 2004»
15 years 1 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
JEI
2008
100views more  JEI 2008»
15 years 1 months ago
Context adaptive image denoising through modeling of curvelet domain statistics
We perform a statistical analysis of curvelet coefficients, distinguishing between two classes of coefficients: those that contain a significant noise-free component, which we call...
Linda Tessens, Aleksandra Pizurica, Alin Alecu, Ad...
BMCBI
2006
95views more  BMCBI 2006»
15 years 1 months ago
XcisClique: analysis of regulatory bicliques
Background: Modeling of cis-elements or regulatory motifs in promoter (upstream) regions of genes is a challenging computational problem. In this work, set of regulatory motifs si...
Amrita Pati, Cecilia Vasquez-Robinet, Lenwood S. H...
BMCBI
2008
105views more  BMCBI 2008»
15 years 1 months ago
Using the longest significance run to estimate region-specific p-values in genetic association mapping studies
Background: Association testing is a powerful tool for identifying disease susceptibility genes underlying complex diseases. Technological advances have yielded a dramatic increas...
Ie-Bin Lian, Yi-Hsien Lin, Ying-Chao Lin, Hsin-Cho...