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 was significantly better compared to not using a prior, both on a well known microarray data set and on three independent microarray data sets.

• Type: Conference
• Year: 2008
• Where: PSB
• Authors: O. Gaevert, Steven Van Vooren, Bart De Moor
• Keywords: Applied Computing, Bayesian Network, Independent Microarray Data, Microarray Data Sets, PSB 2008