Model 2.2D and 2.3D outperform human expert predictions.

<p>Accuracy of Model2.2 on different simulated 2D colony and organoid data in comparison with humans. Both, Model2.2D and Human were tested with seven neighbors, using two-dimensional simulated colony data (data set C, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journ...

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Bibliographic Details
Main Author:	Robin Dirk (17296179) (author)
Other Authors:	Jonas L. Fischer (17296182) (author), Simon Schardt (17296185) (author), Markus J. Ankenbrand (6829748) (author), Sabine C. Fischer (8850104) (author)
Published:	2023
Subjects:	Cell Biology Genetics Biotechnology Developmental Biology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified spatial summary statistics pair correlation functions nine nearest neighbors machine learning models graph neural network deep learning algorithms dimensional spatial patterns div >< p pattern reconstruction tasks cell differentiation patterns engulfing patterns vitro </ synthetic data results show radial segregation pattern recognition ongoing effort neighboring cells multilayer perceptron moran ’ mathematical modeling disperses throughout data predicted cell communication
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Model 2.2D and 2.3D outperform human expert predictions.

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