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A BAYESIAN STATISTICAL APPROACH TO MODELING GENE§REGULATORY PATHWAYS IN MICROARRAY DATA: Bayesian§networks are used to analyze time-series gene§expression placenta data. Preeclampsia is a health§condition which endangers both the mother and the§fetus and causes high rates of maternal mortality in§both the Developed and Developing worlds. The overall§goal of this study was to determine the gene§regulatory pathways that operate in the development§of the healthy human placenta. This study focused on§creating a Bayesian network to find the pathways§using a machine learning methodology. This study§showed that it is possible to predict via in-silico§analyses the gene regulatory pathways for 418 genes§associated with the development of the human§placenta. The software package used is the Weka§system from University of Waikato, New Zealand.
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