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» Smoothing Gene Expression Using Biological Networks
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GPB
2010
231views Solid Modeling» more  GPB 2010»
13 years 4 months ago
Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
Ferran Reverter, Esteban Vegas, Pedro Sánch...
BMCBI
2005
153views more  BMCBI 2005»
13 years 7 months ago
Mining published lists of cancer related microarray experiments: Identification of a gene expression signature having a critical
Background: Routine application of gene expression microarray technology is rapidly producing large amounts of data that necessitate new approaches of analysis. The analysis of a ...
Giacomo Finocchiaro, Francesco Mancuso, Heiko M&uu...
BMCBI
2010
126views more  BMCBI 2010»
13 years 7 months ago
GeneBrowser 2: an application to explore and identify common biological traits in a set of genes
Background: The development of high-throughput laboratory techniques created a demand for computer-assisted result analysis tools. Many of these techniques return lists of genes w...
Joel Arrais, João Fernandes, João Pe...
IDA
2007
Springer
14 years 1 months ago
Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers
Abstract. Microarrays allow biologists to determine the gene expressions for tens of thousands of genes simultaneously, however due to biological processes, the resulting microarra...
Karl Fraser, Zidong Wang, Yongmin Li, Paul Kellam,...
CDC
2009
IEEE
179views Control Systems» more  CDC 2009»
14 years 8 days ago
Bayesian network approach to understand regulation of biological processes in cyanobacteria
— Bayesian networks have extensively been used in numerous fields including artificial intelligence, decision theory and control. Its ability to utilize noisy and missing data ...
Thanura R. Elvitigala, Abhay K. Singh, Himadri B. ...