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» Algorithms for Finding Gene Clusters
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BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
15 years 6 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
BMCBI
2007
123views more  BMCBI 2007»
14 years 11 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...
CIKM
2004
Springer
15 years 5 months ago
Mining gene expression datasets using density-based clustering
Given the recent advancement of microarray technologies, we present a density-based clustering approach for the purpose of co-expressed gene cluster identification. The underlyin...
Seokkyung Chung, Jongeun Jun, Dennis McLeod
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
16 years 3 days ago
Mining phenotypes and informative genes from gene expression data
Mining microarray gene expression data is an important research topic in bioinformatics with broad applications. While most of the previous studies focus on clustering either gene...
Chun Tang, Aidong Zhang, Jian Pei
68
Voted
BMCBI
2006
92views more  BMCBI 2006»
14 years 11 months ago
Similarity-based gene detection: using COGs to find evolutionarily-conserved ORFs
Background: Experimental verification of gene products has not kept pace with the rapid growth of microbial sequence information. However, existing annotations of gene locations c...
Bradford C. Powell, Clyde A. Hutchison III