Predicting Astrocytic Nuclear Morphology with Machine Learning: A Tree Ensemble Classifier Study

Predicting Astrocytic Nuclear Morphology with Machine Learning: A Tree Ensemble Classifier Study

Machine learning is usually associated with big data; however, experimental or clinical data are usually limited in size. The aim of this study was to describe how supervised machine learning can be used to classify astrocytes from a small sample into different morphological classes. Our dataset was...

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Bibliographic Details
Main Authors:	Piercesare Grimaldi, Martina Lorenzati, Marta Ribodino, Elena Signorino, Annalisa Buffo, Paola Berchialla
Format:	Article
Language:	English
Published:	MDPI AG 2023-03-01
Series:	Applied Sciences
Subjects:	machine learning astrocytes LMNB1 tree ensemble cross-validation tree bagger
Online Access:	https://www.mdpi.com/2076-3417/13/7/4289

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