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» Clustering cancer gene expression data: a comparative study
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BIOCOMP
2008
15 years 7 months ago
Reverse Engineering Module Networks by PSO-RNN Hybrid Modeling
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...
CSB
2003
IEEE
123views Bioinformatics» more  CSB 2003»
15 years 11 months ago
Fourier Harmonic Approach for Visualizing Temporal Patterns of Gene Expression Data
DNA microarray technology provides a broad snapshot of the state of the cell by measuring the expression levels of thousands of genes simultaneously. Visualization techniques can ...
Li Zhang, Aidong Zhang, Murali Ramanathan
BIOINFORMATICS
2007
195views more  BIOINFORMATICS 2007»
15 years 6 months ago
Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
Shinsheng Yuan, Ker-Chau Li
JCB
2002
160views more  JCB 2002»
15 years 5 months ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
BMCBI
2007
182views more  BMCBI 2007»
15 years 6 months ago
Additive risk survival model with microarray data
Background: Microarray techniques survey gene expressions on a global scale. Extensive biomedical studies have been designed to discover subsets of genes that are associated with ...
Shuangge Ma, Jian Huang