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» Combining microarrays and genetic analysis
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BMCBI
2005
201views more  BMCBI 2005»
13 years 9 months ago
Principal component analysis for predicting transcription-factor binding motifs from array-derived data
Background: The responses to interleukin 1 (IL-1) in human chondrocytes constitute a complex regulatory mechanism, where multiple transcription factors interact combinatorially to...
Yunlong Liu, Matthew P. Vincenti, Hiroki Yokota
IEEEIAS
2009
IEEE
14 years 4 months ago
Threats Identification in Healthcare Information Systems Using Genetic Algorithm and Cox Regression
: Threats to information security for healthcare information system increased tremendously. There are various factors that contribute to information security threats, many research...
Rabiah Ahmad, Ganthan Narayana Samy, Nuzulha Khilw...
RECOMB
2008
Springer
14 years 10 months ago
Detecting Disease-Specific Dysregulated Pathways Via Analysis of Clinical Expression Profiles
We present a method for identifying connected gene subnetworks significantly enriched for genes that are dysregulated in specimens of a disease. These subnetworks provide a signat...
Igor Ulitsky, Richard M. Karp, Ron Shamir
BMCBI
2007
168views more  BMCBI 2007»
13 years 10 months ago
GOSim - an R-package for computation of information theoretic GO similarities between terms and gene products
Background: With the increased availability of high throughput data, such as DNA microarray data, researchers are capable of producing large amounts of biological data. During the...
Holger Fröhlich, Nora Speer, Annemarie Poustk...
CGF
2008
142views more  CGF 2008»
13 years 10 months ago
Visualizing Genome Expression and Regulatory Network Dynamics in Genomic and Metabolic Context
DNA microarrays are used to measure the expression levels of thousands of genes simultaneously. In a time series experiment, the gene expressions are measured as a function of tim...
Michel A. Westenberg, Sacha A. F. T. van Hijum, Os...