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» Analysis of variance components in gene expression data
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RECOMB
2001
Springer
15 years 10 months ago
Analysis techniques for microarray time-series data
We address possible limitations of publicly available data sets of yeast gene expression. We study the predictability of known regulators via time-series analysis, and show that l...
Vladimir Filkov, Steven Skiena, Jizu Zhi
KDD
2001
ACM
169views Data Mining» more  KDD 2001»
15 years 10 months ago
Hierarchical cluster analysis of SAGE data for cancer profiling
In this paper we present a method for clustering SAGE (Serial Analysis of Gene Expression) data to detect similarities and dissimilarities between different types of cancer on the...
Jörg Sander, Monica C. Sleumer, Raymond T. Ng
IV
2008
IEEE
109views Visualization» more  IV 2008»
15 years 4 months ago
Visualization of Gene Combinations
Advances in the field of microarray technology have attracted a lot of attention in the last years. More and more biological experiments are conducted based on microarrays. The c...
Christian Tominski, Heidrun Schumann
BMCBI
2006
182views more  BMCBI 2006»
14 years 10 months ago
AceTree: a tool for visual analysis of Caenorhabditis elegans embryogenesis
Background: The invariant lineage of the nematode Caenorhabditis elegans has potential as a powerful tool for the description of mutant phenotypes and gene expression patterns. We...
Thomas J. Boyle, Zhirong Bao, John I. Murray, Carl...
CIBCB
2006
IEEE
15 years 3 months ago
A Systematic Computational Approach for Transcription Factor Target Gene Prediction
— Computational prediction of transcription factor’s binding sites and regulatory target genes has great value to the biological studies of cellular process. Existing practices...
Ji He, Xinbin Dai, Xuechun Zhao