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» Analyzing time series gene expression data
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BMCBI
2006
98views more  BMCBI 2006»
13 years 7 months ago
In search of functional association from time-series microarray data based on the change trend and level of gene expression
Background: The increasing availability of time-series expression data opens up new possibilities to study functional linkages of genes. Present methods used to infer functional l...
Feng He, An-Ping Zeng
BMCBI
2010
153views more  BMCBI 2010»
13 years 7 months ago
GOAL: A software tool for assessing biological significance of genes groups
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
Alain B. Tchagang, Alexander Gawronski, Hugo B&eac...
CSB
2003
IEEE
153views Bioinformatics» more  CSB 2003»
14 years 27 days ago
Combining Microarrays and Biological Knowledge for Estimating Gene Networks via Bayesian Networks
We propose a statistical method for estimating a gene network based on Bayesian networks from microarray gene expression data together with biological knowledge including protein-...
Seiya Imoto, Tomoyuki Higuchi, Takao Goto, Kousuke...
BTW
2003
Springer
94views Database» more  BTW 2003»
14 years 25 days ago
Comparative Evaluation of Microarray-based Gene Expression Databases
Microarrays make it possible to monitor the expression of thousands of genes in parallel thus generating huge amounts of data. So far, several databases have been developed for man...
Hong Hai Do, Toralf Kirsten, Erhard Rahm
TCBB
2010
136views more  TCBB 2010»
13 years 6 months ago
Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data
— The recent development of methods for extracting precise measurements of spatial gene expression patterns from three-dimensional (3D) image data opens the way for new analyses ...
Oliver Rübel, Gunther H. Weber, Min-Yu Huang,...