Predicting Substrates of [gamma]-secretase in Drosophila/
Author(s)
Wang, Yuhao, Ph.D. Massachusetts Institute of Technology![Thumbnail](/bitstream/handle/1721.1/105957/965548354-MIT.pdf.jpg?sequence=3&isAllowed=y)
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Other Contributors
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Bonnie Berger.
Terms of use
Metadata
Show full item recordAbstract
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
2016Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.