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BMCBI
2007
130views more  BMCBI 2007»
13 years 3 months ago
A robust measure of correlation between two genes on a microarray
Background: The underlying goal of microarray experiments is to identify gene expression patterns across different experimental conditions. Genes that are contained in a particula...
Johanna S. Hardin, Aya Mitani, Leanne Hicks, Brian...
ISMB
2000
13 years 5 months ago
Analysis of Gene Expression Microarrays for Phenotype Classification
Several microarray technologies that monitor the level of expression of a large number of genes have recently emerged. Given DNA-microarray data for a set of cells characterized b...
Andrea Califano, Gustavo Stolovitzky, Yuhai Tu
BIRD
2008
Springer
113views Bioinformatics» more  BIRD 2008»
13 years 5 months ago
Matching Spatial Regions with Combinations of Interacting Gene Expression Patterns
The Edinburgh Mouse Atlas aims to capture in-situ gene expression patterns in a common spatial framework. In this study, we construct a grammar to define spatial regions by combina...
Jano I. van Hemert, Richard A. Baldock
ISNN
2004
Springer
13 years 9 months ago
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, ...
IDEAL
2004
Springer
13 years 9 months ago
Building Genetic Networks for Gene Expression Patterns
Building genetic regulatory networks from time series data of gene expression patterns is an important topic in bioinformatics. Probabilistic Boolean networks (PBNs) have been deve...
Wai-Ki Ching, Eric S. Fung, Michael K. Ng
CSB
2005
IEEE
126views Bioinformatics» more  CSB 2005»
13 years 9 months ago
Identifying Simple Discriminatory Gene Vectors with an Information Theory Approach
In the feature selection of cancer classification problems, many existing methods consider genes individually by choosing the top genes which have the most significant signal-to...
Zheng Yun, Kwoh Chee Keong
BIRD
2007
Springer
154views Bioinformatics» more  BIRD 2007»
13 years 9 months ago
Mining Spatial Gene Expression Data for Association Rules
Abstract. We analyse data from the Edinburgh Mouse Atlas GeneExpression Database (EMAGE) which is a high quality data source for spatio-temporal gene expression patterns. Using a n...
Jano I. van Hemert, Richard A. Baldock
ADMA
2009
Springer
212views Data Mining» more  ADMA 2009»
13 years 10 months ago
Automating Gene Expression Annotation for Mouse Embryo
It is of high biomedical interest to identify gene interactions and networks that are associated with developmental and physiological functions in the mouse embryo. There are now v...
Liangxiu Han, Jano I. van Hemert, Richard A. Baldo...
ISBI
2006
IEEE
14 years 4 months ago
Clustering gene expression patterns of fly embryos
The spatio-temporal patterning of gene expression in early embryos is an important source of information for understanding the functions of genes involved in development. Most ana...
Hanchuan Peng, Fuhui Long, Michael B. Eisen, Eugen...
MICCAI
2005
Springer
14 years 4 months ago
Hybrid Segmentation Framework for Tissue Images Containing Gene Expression Data
Associating speci c gene activity with speci c functional locations in the brain anatomy results in a greater understanding of the role of the gene's products. To perform such...
Musodiq Bello, Tao Ju, Joe D. Warren, James Carson...