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» Semantic Mining and Analysis of Gene Expression Data
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BMCBI
2008
126views more  BMCBI 2008»
14 years 10 months ago
c-REDUCE: Incorporating sequence conservation to detect motifs that correlate with expression
Background: Computational methods for characterizing novel transcription factor binding sites search for sequence patterns or "motifs" that appear repeatedly in genomic ...
Katerina Kechris, Hao Li
BIBE
2004
IEEE
160views Bioinformatics» more  BIBE 2004»
15 years 1 months ago
A Time Series Analysis of Microarray Data
As the capture and analysis of single-time-point microarray expression data becomes routine, investigators are turning to time-series expression data to investigate complex gene r...
Selnur Erdal, Ozgur Ozturk, David L. Armbruster, H...
BMCBI
2010
92views more  BMCBI 2010»
14 years 10 months ago
Integrating gene expression and GO classification for PCA by preclustering
Background: Gene expression data can be analyzed by summarizing groups of individual gene expression profiles based on GO annotation information. The mean expression profile per g...
Jorn R. de Haan, Ester Piek, René C. van Sc...
IKE
2007
14 years 11 months ago
Spatial and Temporal Target Association through Semantic Analysis and GPS Data Mining
- We present an application for analyzing temporal and spatial interaction in an Association Network environment based on integrating Global Positioning Systems (GPS) Data, RDF Met...
David Luper, Delroy Cameron, John Miller, Hamid R....
BMCBI
2006
153views more  BMCBI 2006»
14 years 9 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...