NK Habibi
Protein contact map prediction based on an ensemble learning method
Habibi, NK; Saraee, MH
Abstract
Contact map is the simplified, 2D representation of protein spatial structure. Contact map prediction is an intermediate step to predict protein 3D structure. Ensemble learning-based model is a collection of learners that is more accurate than a single learner. In this paper we propose an ensemble learning method for contact map prediction. Results show that a considerable performance improvement is attainable using this approach instead of using a single model.
Citation
Habibi, N., & Saraee, M. (2009, January). Protein contact map prediction based on an ensemble learning method. Presented at International Conference on Computer Engineering and Technology (ICCET 2009),, Singapore
Presentation Conference Type | Other |
---|---|
Conference Name | International Conference on Computer Engineering and Technology (ICCET 2009), |
Conference Location | Singapore |
Start Date | Jan 22, 2009 |
End Date | Jan 24, 2009 |
Publication Date | Jan 1, 2009 |
Deposit Date | Nov 4, 2011 |
Book Title | 2009 International Conference on Computer Engineering and Technology |
DOI | https://doi.org/10.1109/ICCET.2009.58 |
Publisher URL | http://dx.doi.org/10.1109/ICCET.2009.58 |
Additional Information | Event Type : Conference |
You might also like
Features in extractive supervised single-document summarization: case of Persian news
(2024)
Journal Article
Deriving Environmental Risk Profiles for Autonomous Vehicles From Simulated Trips
(2023)
Journal Article
DeepClean : a robust deep learning technique for autonomous vehicle camera data privacy
(2022)
Journal Article
Machine learning-based optimized link state routing protocol for D2D communication in 5G/B5G
(2022)
Presentation / Conference