Document Type
Thesis
Date of Award
Summer 8-31-2002
Degree Name
Master of Science in Computational Biology - (M.S.)
Department
Federated Department of Biological Sciences
First Advisor
Michael Recce
Second Advisor
Peter P. Tolias
Third Advisor
Ronald Philip Hart
Abstract
There is a lot of systematic and specific variability in microarray experiments, this variability affects measured gene expression levels, leading to unreliable gene profiling or an heavy load of extra experiment to statistically confirm the data observed in one experiment.
The aim of this work is to systematically analyze, using statistics, the image derived from a cDNA microarray experiment to have a better understanding of this variability and thus a better confidence over the data obtained from an experiment.
Using technologies available at the Center for Applied Genomics, Newark, New Jersey. Selected images derived from different type of microarray experiments have been analyzed in statistical fashion to find answers about the variability of biological data. Statistical methods such regression have been applied to the whole image, print-tips and single spots; leading to answers, confirmations and new ideas about issues regarding analysis and reliability of microarrays experiments.
Recommended Citation
Posta, Filippo, "Statistical image analysis of spotted arrays" (2002). Theses. 686.
https://digitalcommons.njit.edu/theses/686
