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» Gene Expression Data Management: A Case Study
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BMCBI
2008
179views more  BMCBI 2008»
15 years 6 months ago
Building pathway clusters from Random Forests classification using class votes
Background: Recent years have seen the development of various pathway-based methods for the analysis of microarray gene expression data. These approaches have the potential to bri...
Herbert Pang, Hongyu Zhao
DILS
2005
Springer
15 years 11 months ago
Integrating Heterogeneous Microarray Data Sources Using Correlation Signatures
Abstract. Microarrays are one of the latest breakthroughs in experimental molecular biology. Thousands of different research groups generate tens of thousands of microarray gene e...
Jaewoo Kang, Jiong Yang, Wanhong Xu, Pankaj Chopra
BMCBI
2005
110views more  BMCBI 2005»
15 years 6 months ago
Considerations when using the significance analysis of microarrays (SAM) algorithm
Background: Users of microarray technology typically strive to use universally acceptable data analysis strategies to determine significant expression changes in their experiments...
Ola Larsson, Claes Wahlestedt, James A. Timmons
ESANN
2006
15 years 7 months ago
Sanger-driven MDSLocalize - a comparative study for genomic data
Multidimensional scaling (MDS) methods are designed to establish a one-to-one correspondence of input-output relationships. While the input may be given as high-dimensional data it...
Marc Strickert, Nese Sreenivasulu, Udo Seiffert
BMCBI
2006
123views more  BMCBI 2006»
15 years 6 months ago
SBEAMS-Microarray: database software supporting genomic expression analyses for systems biology
Background: The biological information in genomic expression data can be understood, and computationally extracted, in the context of systems of interacting molecules. The automat...
Bruz Marzolf, Eric W. Deutsch, Patrick Moss, David...