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<t>MLRA</t> regression coefficients (SI) in isotropic case (a-i) and gradient case (j-r). The columns refer to the key parameter α, K, T d , T m . The rows refer to the output of interest: a , j) core cell number; b , k) migrated cell number; c , l) number of cells migrated toward East; d , m) number of cells migrated toward South; e , n) number of cells migrated toward West; f , o) core cell percentage; g , p) percentage of cells migrated toward East; h , q) percentage of cells migrated toward South; i , r) percentage of cells migrated toward West. The asterisk indicates which parameter is significance (p<0.05) for the related output.
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MLRA regression coefficients (SI) in isotropic case (a-i) and gradient case (j-r). The columns refer to the key parameter α, K, T d , T m . The rows refer to the output of interest: a , j) core cell number; b , k) migrated cell number; c , l) number of cells migrated toward East; d , m) number of cells migrated toward South; e , n) number of cells migrated toward West; f , o) core cell percentage; g , p) percentage of cells migrated toward East; h , q) percentage of cells migrated toward South; i , r) percentage of cells migrated toward West. The asterisk indicates which parameter is significance (p<0.05) for the related output.

Journal: bioRxiv

Article Title: Hybrid Cellular Automata Modelling Reveals the Effects of Glucose Gradients on Tumour Spheroid Growth

doi: 10.1101/2023.10.19.563082

Figure Lengend Snippet: MLRA regression coefficients (SI) in isotropic case (a-i) and gradient case (j-r). The columns refer to the key parameter α, K, T d , T m . The rows refer to the output of interest: a , j) core cell number; b , k) migrated cell number; c , l) number of cells migrated toward East; d , m) number of cells migrated toward South; e , n) number of cells migrated toward West; f , o) core cell percentage; g , p) percentage of cells migrated toward East; h , q) percentage of cells migrated toward South; i , r) percentage of cells migrated toward West. The asterisk indicates which parameter is significance (p<0.05) for the related output.

Article Snippet: A Multivariate Linear Regression Analysis (MLRA) was performed using the builtin MATLAB function mvregress on whole set of samples to obtain the linear regression coefficients for each parameter.

Techniques: