Predicting Substrates of [gamma]-secretase in Drosophila/
Name
965548354-MIT.pdf
Description
Full printable version
Size
639.23 KB
Format
Adobe PDF
Checksum (MD5)
13ac51c1273b84cf30f02e2bc7b48ab2
Author(s)
Wang, Yuhao, Ph.D. Massachusetts Institute of Technology
Advisor(s)
Bonnie Berger.
Date Issued
2016
Publisher
Massachusetts Institute of Technology
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).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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.
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