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» Analysis techniques for microarray time-series data
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ESORICS
2004
Springer
14 years 26 days ago
Discovering Novel Attack Strategies from INFOSEC Alerts
Abstract. Correlating security alerts and discovering attack strategies are important and challenging tasks for security analysts. Recently, there have been several proposed techni...
Xinzhou Qin, Wenke Lee
KDD
2004
ACM
158views Data Mining» more  KDD 2004»
14 years 7 months ago
A generalized maximum entropy approach to bregman co-clustering and matrix approximation
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
Arindam Banerjee, Inderjit S. Dhillon, Joydeep Gho...
BMCBI
2004
151views more  BMCBI 2004»
13 years 7 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
SP
2008
IEEE
134views Security Privacy» more  SP 2008»
13 years 7 months ago
Discover gene specific local co-regulations from time-course gene expression data
Discovering gene co-regulatory relationships is one of most important research in DNA microarray data analysis. The problem of gene specific co-regulation discovery is to, for a p...
Ji Zhang, Qigang Gao, Hai H. Wang
BMCBI
2007
117views more  BMCBI 2007»
13 years 7 months ago
Meta-analysis of several gene lists for distinct types of cancer: A simple way to reveal common prognostic markers
Background: Although prognostic biomarkers specific for particular cancers have been discovered, microarray analysis of gene expression profiles, supported by integrative analysis...
Xinan Yang, Xiao Sun