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BMCBI
2008
102views more  BMCBI 2008»
13 years 11 months ago
Response projected clustering for direct association with physiological and clinical response data
Background: Microarray gene expression data are often analyzed together with corresponding physiological response and clinical metadata of biological subjects, e.g. patients'...
Sung-Gon Yi, Taesung Park, Jae K. Lee
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 11 months ago
A highly-usable projected clustering algorithm for gene expression profiles
Projected clustering has become a hot research topic due to its ability to cluster high-dimensional data. However, most existing projected clustering algorithms depend on some cri...
Kevin Y. Yip, David W. Cheung, Michael K. Ng
BIOINFORMATICS
2007
137views more  BIOINFORMATICS 2007»
13 years 11 months ago
Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
Claudio Lottaz, Joern Toedling, Rainer Spang
IDA
2007
Springer
14 years 5 months ago
Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers
Abstract. Microarrays allow biologists to determine the gene expressions for tens of thousands of genes simultaneously, however due to biological processes, the resulting microarra...
Karl Fraser, Zidong Wang, Yongmin Li, Paul Kellam,...
BMCBI
2004
113views more  BMCBI 2004»
13 years 10 months ago
Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering
Background: Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray dat...
Alexandre G. de Brevern, Serge A. Hazout, Alain Ma...