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DKE
2008
79views more  DKE 2008»
14 years 9 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
BMCBI
2006
155views more  BMCBI 2006»
14 years 9 months ago
Analysis of promoter regions of co-expressed genes identified by microarray analysis
Background: The use of global gene expression profiling to identify sets of genes with similar expression patterns is rapidly becoming a widespread approach for understanding biol...
Srinivas Veerla, Mattias Höglund
JUCS
2008
130views more  JUCS 2008»
14 years 9 months ago
Feature Selection for the Classification of Large Document Collections
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
Janez Brank, Dunja Mladenic, Marko Grobelnik, Nata...
152
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BMCBI
2005
306views more  BMCBI 2005»
14 years 9 months ago
A method for aligning RNA secondary structures and its application to RNA motif detection
Background: Alignment of RNA secondary structures is important in studying functional RNA motifs. In recent years, much progress has been made in RNA motif finding and structure a...
Jianghui Liu, Jason Tsong-Li Wang, Jun Hu, Bin Tia...
BMCBI
2004
151views more  BMCBI 2004»
14 years 9 months ago
A computational approach for ordering signal transduction pathway components from genomics and proteomics Data
Background: Signal transduction is one of the most important biological processes by which cells convert an external signal into a response. Novel computational approaches to mapp...
Yin Liu, Hongyu Zhao