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» Analysis techniques for microarray time-series data
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BMCBI
2005
112views more  BMCBI 2005»
13 years 8 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
ICDAR
2009
IEEE
13 years 6 months ago
PENTOOLS - A MATLAB Toolkit for On-line Pen-Based Data Experimentation
MATLAB provides a powerful environment for rapid prototyping of research methods and techniques. Across the wide range of on-line pen computing applications there exists a series ...
Richard M. Guest
BIRD
2007
Springer
118views Bioinformatics» more  BIRD 2007»
14 years 19 days ago
Biological Network Inference Using Redundancy Analysis
The paper presents MRNet, an original method for inferring genetic networks from microarray data. This method is based on maximum relevance/minimum redundancy (MRMR), an effective ...
Patrick Emmanuel Meyer, Kevin Kontos, Gianluca Bon...
BMCBI
2010
91views more  BMCBI 2010»
13 years 8 months ago
Algorithm-driven Artifacts in median polish summarization of Microarray data
Background: High-throughput measurement of transcript intensities using Affymetrix type oligonucleotide microarrays has produced a massive quantity of data during the last decade....
Federico M. Giorgi, Anthony M. Bolger, Marc Lohse,...
ICASSP
2009
IEEE
14 years 3 months ago
Microarray classification using block diagonal linear discriminant analysis with embedded feature selection
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
Lingyan Sheng, Roger Pique-Regi, Shahab Asgharzade...