Predicting Substrates of [gamma]-secretase in Drosophila/

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.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2016

Author dc:creator

• Wang, Yuhao, Ph.D. Massachusetts Institute of Technology

Advisor dc:contributor.advisor

• Bonnie Berger.

• Electrical Engineering and Computer Science.

Statement dc:rights

• 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/105957

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/105957