Prediction of Protein X-ray Crystallisation Trial Image Time-courses

B. M. Thamali Lekamge, Arcot Sowmya, Janet Newman


This paper presents an algorithm to predict the outcome of a protein x-ray crystallisation trial. Results obtained from classification of individual images in a time-course are used, along with random forests, to make a prediction of the time-course outcome. Experiments on multiple datasets show that the first 8 frames of each time-course are quite sufficient to predict the final outcome.


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Paper Citation

in Harvard Style

Lekamge B., Sowmya A. and Newman J. (2017). Prediction of Protein X-ray Crystallisation Trial Image Time-courses . In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 663-668. DOI: 10.5220/0006246506630668

in Bibtex Style

author={B. M. Thamali Lekamge and Arcot Sowmya and Janet Newman},
title={Prediction of Protein X-ray Crystallisation Trial Image Time-courses},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},

in EndNote Style

JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Prediction of Protein X-ray Crystallisation Trial Image Time-courses
SN - 978-989-758-222-6
AU - Lekamge B.
AU - Sowmya A.
AU - Newman J.
PY - 2017
SP - 663
EP - 668
DO - 10.5220/0006246506630668