Elinor Velasquez

A Bayesian statistical approach to analysis of microarray data

Bayesian networks

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: VDM Verlag Dr. Müller
• Seitenzahl: 84
• Englisch
• Abmessung: 220mm
• ISBN-13: 9783639149029
• ISBN-10: 3639149025
• Artikelnr.: 26335806

Autorenporträt

Elinor Velasquez receieved her PhD in mathematics at the
University of California, San Diego in La Jolla, California, USA
in 1991 and a MS in Cell and Molecular Biology at San Francisco
State University, San Francisco, California, USA in 2008.