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» Integration of Microarray and Textual Data Improves the Prog...
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PSB
2008
13 years 6 months ago
Integration of Microarray and Textual Data Improves the Prognosis Prediction of Breast, Lung, and Ovarian Cancer Patients
bstracts in the structure prior of a Bayesian network could improve the prediction of the prognosis in cancer. Our results show that prediction of the outcome with the text prior w...
O. Gaevert, Steven Van Vooren, Bart De Moor
BMCBI
2004
180views more  BMCBI 2004»
13 years 5 months ago
Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovaria
Background: A major goal of cancer research is to identify discrete biomarkers that specifically characterize a given malignancy. These markers are useful in diagnosis, may identi...
Virginie M. Aris, Michael J. Cody, Jeff Cheng, Jam...
BMCBI
2011
13 years 6 days ago
The dChip survival analysis module for microarray data
Background: Genome-wide expression signatures are emerging as potential marker for overall survival and disease recurrence risk as evidenced by recent commercialization of gene ex...
Samir B. Amin, Parantu K. Shah, Aimin Yan, Sophia ...
BMCBI
2010
154views more  BMCBI 2010»
13 years 5 months ago
An eScience-Bayes strategy for analyzing omics data
Background: The omics fields promise to revolutionize our understanding of biology and biomedicine. However, their potential is compromised by the challenge to analyze the huge da...
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg