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BMCBI
2008
128views more  BMCBI 2008»
15 years 6 months ago
Nonparametric relevance-shifted multiple testing procedures for the analysis of high-dimensional multivariate data with small sa
Background: In many research areas it is necessary to find differences between treatment groups with several variables. For example, studies of microarray data seek to find a sign...
Cornelia Frömke, Ludwig A. Hothorn, Siegfried...
BMCBI
2008
96views more  BMCBI 2008»
15 years 6 months ago
Use of normalization methods for analysis of microarrays containing a high degree of gene effects
Background: High-throughput microarrays are widely used to study gene expression across tissues and developmental stages. Analysis of gene expression data is challenging in these ...
Terri T. Ni, William J. Lemon, Yu Shyr, Tao P. Zho...
BMCBI
2007
165views more  BMCBI 2007»
15 years 6 months ago
TagSmart: analysis and visualization for yeast mutant fitness data measured by tag microarrays
Background: A nearly complete collection of gene-deletion mutants (96% of annotated open reading frames) of the yeast Saccharomyces cerevisiae has been systematically constructed....
Chulyun Kim, Sangkyum Kim, Russell Dorer, Dan Xie,...
COMPUTER
2008
86views more  COMPUTER 2008»
15 years 6 months ago
Supporting Acquisition of Basic Skills
ors induce aptitudes: abstract skills and knowledge. Mentors foster attitudes: social skills and graces. In my experience of school, starting 70 years or so ago, quite regimented i...
W. Neville Holmes
DKE
2008
79views more  DKE 2008»
15 years 6 months ago
Extracting k most important groups from data efficiently
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis
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