Predicting Substrates of [gamma]-secretase in Drosophila/
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2016
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| Online Access: | http://hdl.handle.net/1721.1/105957 |
| _version_ | 1826198870192816128 |
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| author | Wang, Yuhao, Ph.D. Massachusetts Institute of Technology |
| author2 | Bonnie Berger. |
| author_facet | Bonnie Berger. Wang, Yuhao, Ph.D. Massachusetts Institute of Technology |
| author_sort | Wang, Yuhao, Ph.D. Massachusetts Institute of Technology |
| collection | MIT |
| description | Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016. |
| first_indexed | 2024-09-23T11:11:16Z |
| format | Thesis |
| id | mit-1721.1/105957 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T11:11:16Z |
| publishDate | 2016 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1059572020-03-31T14:42:17Z Predicting Substrates of [gamma]-secretase in Drosophila/ Wang, Yuhao, Ph.D. Massachusetts Institute of Technology Bonnie Berger. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Electrical Engineering and Computer Science. 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). 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. by Yuhao Wang. S.M. 2016-12-22T15:16:25Z 2016-12-22T15:16:25Z 2016 2016 Thesis http://hdl.handle.net/1721.1/105957 965548354 eng 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 67 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Wang, Yuhao, Ph.D. Massachusetts Institute of Technology Predicting Substrates of [gamma]-secretase in Drosophila/ |
| title | Predicting Substrates of [gamma]-secretase in Drosophila/ |
| title_full | Predicting Substrates of [gamma]-secretase in Drosophila/ |
| title_fullStr | Predicting Substrates of [gamma]-secretase in Drosophila/ |
| title_full_unstemmed | Predicting Substrates of [gamma]-secretase in Drosophila/ |
| title_short | Predicting Substrates of [gamma]-secretase in Drosophila/ |
| title_sort | predicting substrates of gamma secretase in drosophila |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/105957 |
| work_keys_str_mv | AT wangyuhaophdmassachusettsinstituteoftechnology predictingsubstratesofgammasecretaseindrosophila |