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» Analyzing time series gene expression data
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BMCBI
2006
115views more  BMCBI 2006»
13 years 7 months ago
Multivariate curve resolution of time course microarray data
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
Peter D. Wentzell, Tobias K. Karakach, Sushmita Ro...
BMCBI
2006
157views more  BMCBI 2006»
13 years 7 months ago
Determination of the minimum number of microarray experiments for discovery of gene expression patterns
Background: One type of DNA microarray experiment is discovery of gene expression patterns for a cell line undergoing a biological process over a series of time points. Two import...
Fang-Xiang Wu, W. J. Zhang, Anthony J. Kusalik
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
14 years 9 months ago
Finding Time-Lagged 3D Clusters
Existing 3D clustering algorithms on gene ? sample ? time expression data do not consider the time lags between correlated gene expression patterns. Besides, they either ignore the...
Xin Xu, Ying Lu, Kian-Lee Tan, Anthony K. H. Tung
EDBT
2002
ACM
130views Database» more  EDBT 2002»
14 years 7 months ago
Gene Expression Data Management: A Case Study
One of the major challenges facing scientists dealing with gene expression data is how to integrate, explore and analyze vast quantities of related data, often residing in multiple...
Victor M. Markowitz, I-Min A. Chen, Anthony Kosky
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
14 years 8 months ago
Mining coherent gene clusters from gene-sample-time microarray data
Extensive studies have shown that mining microarray data sets is important in bioinformatics research and biomedical applications. In this paper, we explore a novel type of genesa...
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tan...