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» Network constrained clustering for gene microarray data
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ICTAI
2003
IEEE
15 years 3 months ago
Integrating Microarray Data by Consensus Clustering
With the exploding volume of microarray experiments comes increasing interest in mining repositories of such data. Meaningfully combining results from varied experiments on an equ...
Vladimir Filkov, Steven Skiena
AINA
2008
IEEE
15 years 4 months ago
Missing Value Estimation for Time Series Microarray Data Using Linear Dynamical Systems Modeling
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
Connie Phong, Raul Singh
CIBCB
2009
IEEE
14 years 7 months ago
An automatic gene ontology software tool for bicluster and cluster comparisons
We propose an Automatic Gene Ontology (AGO) software as a flexible, open-source Matlab software tool that allows the user to easily compare the results of the bicluster and cluster...
Fadhl M. Al-Akwaa, Yasser M. Kadah
CSB
2003
IEEE
123views Bioinformatics» more  CSB 2003»
15 years 3 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
KDD
2002
ACM
183views Data Mining» more  KDD 2002»
15 years 10 months ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...