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BMCBI
2004
181views more  BMCBI 2004»
15 years 6 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
15 years 10 months ago
Characterizing the dynamics of symmetry breaking in genetic programming
This paper introduces a metric that measures symmetry in tree graphs, which allows for a statistical characterization of GP solutions by their architectural "shapes." A ...
Jason M. Daida
DAGSTUHL
2006
15 years 7 months ago
Efficient Software Model Checking of Data Structure Properties
This paper presents novel language and analysis techniques that significantly speed up software model checking of data structure properties. Consider checking a red-black tree imp...
Chandrasekhar Boyapati, Paul T. Darga
BMCBI
2006
72views more  BMCBI 2006»
15 years 6 months ago
Selecting effective siRNA sequences by using radial basis function network and decision tree learning
Background: Although short interfering RNA (siRNA) has been widely used for studying gene functions in mammalian cells, its gene silencing efficacy varies markedly and there are o...
Shigeru Takasaki, Yoshihiro Kawamura, Akihiko Kona...
ICDE
2006
IEEE
196views Database» more  ICDE 2006»
16 years 7 months ago
Closure-Tree: An Index Structure for Graph Queries
Graphs have become popular for modeling structured data. As a result, graph queries are becoming common and graph indexing has come to play an essential role in query processing. ...
Huahai He, Ambuj K. Singh