Multicoil-HMM : improved prediction of coiled-coil oligomer state from sequence
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2011
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| Online Access: | http://hdl.handle.net/1721.1/62757 |
| _version_ | 1811072483481092096 |
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| author | Trigg, Jason (Jason A.) |
| author2 | Bonnie Berger. |
| author_facet | Bonnie Berger. Trigg, Jason (Jason A.) |
| author_sort | Trigg, Jason (Jason A.) |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010. |
| first_indexed | 2024-09-23T09:06:41Z |
| format | Thesis |
| id | mit-1721.1/62757 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T09:06:41Z |
| publishDate | 2011 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/627572019-04-10T20:48:33Z Multicoil-HMM : improved prediction of coiled-coil oligomer state from sequence Multicoil-Hidden Markov Model Trigg, Jason (Jason A.) Bonnie Berger. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010. Cataloged from PDF version of thesis. Includes bibliographical references (p. 26). The Multicoil-HMM algorithm offers improved prediction of coiled-coil oligomerization state. The algorithm combines the pairwise correlations of the Multicoil method with the flexibility of HMM methods. The resulting method incorporates predictors deemed important by a multinomial logistic regression to distinguish between the dimer, trimer and non-coiled coil oligomerization states. The Multicoil-HMM algorithm shows significantly improved oligomer state prediction over a retrained Multicoil algorithm, which is currently the state-of-the-art. The general strategy of using multinomial regression on predictors that can be simulated by HMMs while abandoning the probabilistic interpretation of HMMs may be useful in other machine learning applications. by Jason Trigg. M.Eng. 2011-05-09T15:30:55Z 2011-05-09T15:30:55Z 2010 2010 Thesis http://hdl.handle.net/1721.1/62757 717726195 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 26 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Trigg, Jason (Jason A.) Multicoil-HMM : improved prediction of coiled-coil oligomer state from sequence |
| title | Multicoil-HMM : improved prediction of coiled-coil oligomer state from sequence |
| title_full | Multicoil-HMM : improved prediction of coiled-coil oligomer state from sequence |
| title_fullStr | Multicoil-HMM : improved prediction of coiled-coil oligomer state from sequence |
| title_full_unstemmed | Multicoil-HMM : improved prediction of coiled-coil oligomer state from sequence |
| title_short | Multicoil-HMM : improved prediction of coiled-coil oligomer state from sequence |
| title_sort | multicoil hmm improved prediction of coiled coil oligomer state from sequence |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/62757 |
| work_keys_str_mv | AT triggjasonjasona multicoilhmmimprovedpredictionofcoiledcoiloligomerstatefromsequence AT triggjasonjasona multicoilhiddenmarkovmodel |