Predicting Substrates of [gamma]-secretase in Drosophila/

Author(s)
Wang, Yuhao, Ph.D. Massachusetts Institute of Technology
Thumbnail
DownloadFull printable version (639.2Kb)
Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Bonnie Berger.
Terms of use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
Metadata
Show full item record
Abstract
In this thesis, I designed a computational method for predicting substrates of [gamma]-secretase in Drosophila and compared this method with other popular methods using some benchmark data set. Results show our method significantly outperforms other methods and generates important candidates for further experimental validation. Results from this computational experiment could be very important in comparing two common hypotheses for Alzheimer's disease: the presenilin hypothesis and amyloid hypothesis.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
In title on title-page, "[gamma]" appears as the lower case Greek letter. Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (pages 65-67).
 
Date issued
2016
URI
http://hdl.handle.net/1721.1/105957
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.
Collections