The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

Our approach replaces the traditional optimization process developed in our previous work, with a regression method ... of [−47, 28] mL. A correlation coefficient of r = 0.7 (p < 0.05) was reported, ...

The experimental results demonstrate that the proposed GA-RF in this paper achieves significantly higher accuracy compared to Random Forest (RF), Support Vector Machine (SVM), and Linear Regression ..

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