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» Genetic algorithms using low-discrepancy sequences
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BMCBI
2007
152views more  BMCBI 2007»
13 years 5 months ago
Difference-based clustering of short time-course microarray data with replicates
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
Jihoon Kim, Ju Han Kim
BMCBI
2006
108views more  BMCBI 2006»
13 years 5 months ago
An improved map of conserved regulatory sites for Saccharomyces cerevisiae
Background: The regulatory map of a genome consists of the binding sites for proteins that determine the transcription of nearby genes. An initial regulatory map for S. cerevisiae...
Kenzie D. MacIsaac, Ting Wang, D. Benjamin Gordon,...
KDD
2009
ACM
132views Data Mining» more  KDD 2009»
14 years 5 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
CCS
2007
ACM
13 years 11 months ago
Privacy preserving error resilient dna searching through oblivious automata
Human Desoxyribo-Nucleic Acid (DNA) sequences offer a wealth of information that reveal, among others, predisposition to various diseases and paternity relations. The breadth and...
Juan Ramón Troncoso-Pastoriza, Stefan Katze...
GECCO
2009
Springer
138views Optimization» more  GECCO 2009»
13 years 11 months ago
IMAD: in-execution malware analysis and detection
The sophistication of computer malware is becoming a serious threat to the information technology infrastructure, which is the backbone of modern e-commerce systems. We, therefore...
Syed Bilal Mehdi, Ajay Kumar Tanwani, Muddassar Fa...