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KDD
2002
ACM
183views Data Mining» more  KDD 2002»
14 years 8 months ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
BMCBI
2007
165views more  BMCBI 2007»
13 years 7 months ago
Ab initio identification of human microRNAs based on structure motifs
Background: MicroRNAs (miRNAs) are short, non-coding RNA molecules that are directly involved in post-transcriptional regulation of gene expression. The mature miRNA sequence bind...
Markus Brameier, Carsten Wiuf
FASE
2010
Springer
14 years 2 months ago
Why the Virtual Nature of Software Makes It Ideal for Search Based Optimization
This paper1 provides a motivation for the application of search based optimization to Software Engineering, an area that has come to be known as Search Based Software Engineering (...
Mark Harman
PODS
2001
ACM
145views Database» more  PODS 2001»
14 years 7 months ago
Optimization of Sequence Queries in Database Systems
The need to search for complex and recurring patterns in database sequences is shared by many applications. In this paper, we discuss how to express and support efficiently sophis...
Reza Sadri, Carlo Zaniolo, Amir M. Zarkesh, Jafar ...
BMCBI
2005
122views more  BMCBI 2005»
13 years 7 months ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...