| Autor: |
Gassend, B., O'Donnell, C. W., Thies, W., Lee, A., van Dijk, M., Devadas, S. |
| Rok vydání: |
2005 |
| Popis: |
Our goal is to develop a state-of-the-art predictor with an intuitive and biophysically-motivated energy model through the use of Hidden Markov Support Vector Machines (HM-SVMs), a recent innovation in the field of machine learning. We focus on the prediction of alpha helices in proteins and show that using HM-SVMs, a simple 7-state HMM with 302 parameters can achieve a Q_alpha value of 77.6% and a SOV_alpha value of 73.4%. We briefly describe how our method can be generalized to predicting beta strands and sheets. |
| Databáze: |
Networked Digital Library of Theses & Dissertations |
| Externí odkaz: |
|
