The Resolved Mutual Information Function as a Structural Fingerprint of Biomolecular Sequences for Interpretable Machine Learning Classifiers

The Resolved Mutual Information Function as a Structural Fingerprint of Biomolecular Sequences for Interpretable Machine Learning Classifiers

In the present article we propose the application of variants of the mutual information function as characteristic fingerprints of biomolecular sequences for classification analysis. In particular, we consider the resolved mutual information functions based on Shannon-, Rényi-, and Tsallis-entropy....

Full description

Bibliographic Details
Main Authors: Katrin Sophie Bohnsack, Marika Kaden, Julia Abel, Sascha Saralajew, Thomas Villmann
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Entropy
Subjects:
mutual information
sequence analysis
classification
machine learning
interpretable models
Online Access:https://www.mdpi.com/1099-4300/23/10/1357

Internet

https://www.mdpi.com/1099-4300/23/10/1357

Similar Items