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....

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Detalles Bibliográficos
Autores principales: Bohnsack, Katrin Sophie, Kaden, Marika, Abel, Julia, Saralajew, Sascha, Villmann, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534762/
https://www.ncbi.nlm.nih.gov/pubmed/34682081
http://dx.doi.org/10.3390/e23101357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534762/
https://www.ncbi.nlm.nih.gov/pubmed/34682081
http://dx.doi.org/10.3390/e23101357

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