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» Combining Affymetrix microarray results
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ISBI
2008
IEEE
15 years 11 months ago
Automated comparison of protein subcellular location patterns between images of normal and cancerous tissues
Early cancer diagnosis and evaluation of cancer progression during treatment are two important factors for clinical therapy. In this study we propose a novel approach which automa...
Estelle Glory, Justin Newberg, Robert F. Murphy
RECOMB
2008
Springer
15 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
CSB
2003
IEEE
15 years 3 months ago
Fast and Sensitive Probe Selection for DNA Chips Using Jumps in Matching Statistics
The design of large scale DNA microarrays is a challenging problem. So far, probe selection algorithms must trade the ability to cope with large scale problems for a loss of accur...
Sven Rahmann
79
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CDC
2009
IEEE
179views Control Systems» more  CDC 2009»
15 years 3 months 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. ...
AIME
2005
Springer
15 years 9 days ago
An Algorithm to Learn Causal Relations Between Genes from Steady State Data: Simulation and Its Application to Melanoma Dataset
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
Xin Zhang, Chitta Baral, Seungchan Kim