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» Smoothing Gene Expression Using Biological Networks
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BMCBI
2010
104views more  BMCBI 2010»
13 years 7 months ago
Response network analysis of differential gene expression in human epithelial lung cells during avian influenza infections
Background: The recent emergence of the H5N1 influenza virus from avian reservoirs has raised concern about future influenza strains of high virulence emerging that could easily i...
Ken Tatebe, Ahmet Zeytun, Ruy M. Ribeiro, Robert H...
JBI
2002
13 years 7 months ago
Revising regulatory networks: from expression data to linear causal models
Discovering the complex regulatory networks that govern mRNA expression is an important but difficult problem. Many current approaches use only expression data from microarrays to...
Stephen D. Bay, Jeff Shrager, Andrew Pohorille, Pa...
BMCBI
2007
104views more  BMCBI 2007»
13 years 7 months ago
A comparison of Affymetrix gene expression arrays
Background: Affymetrix GeneChips™ are an important tool in many facets of biological research. Recently, notable design changes to the chips have been made. In this study, we us...
Mark D. Robinson, Terence P. Speed
BMCBI
2008
146views more  BMCBI 2008»
13 years 7 months ago
Rank-based edge reconstruction for scale-free genetic regulatory networks
Background: The reconstruction of genetic regulatory networks from microarray gene expression data has been a challenging task in bioinformatics. Various approaches to this proble...
Guanrao Chen, Peter Larsen, Eyad Almasri, Yang Dai
BMCBI
2006
183views more  BMCBI 2006»
13 years 7 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...