Application of an interpretable classification model on Early Folding Residues during protein folding

Application of an interpretable classification model on Early Folding Residues during protein folding

Abstract Background Machine learning strategies are prominent tools for data analysis. Especially in life sciences, they have become increasingly important to handle the growing datasets collected by the scientific community. Meanwhile, algorithms improve in performance, but also gain complexity, an...

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Bibliographic Details
Main Authors: Sebastian Bittrich, Marika Kaden, Christoph Leberecht, Florian Kaiser, Thomas Villmann, Dirk Labudde
Format: Article
Language:English
Published: BMC 2019-01-01
Series:BioData Mining
Subjects:
Machine learning
Visualization
Protein folding
Early folding residues
Residue graphs
Learning vector quantization
Online Access:http://link.springer.com/article/10.1186/s13040-018-0188-2

Internet

http://link.springer.com/article/10.1186/s13040-018-0188-2

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