Classification of Genotype and Age of Eyes Using RPE Cell Size and Shape
نویسندگان
چکیده
Retinal pigment epithelium (RPE) is a principal site of pathogenesis in age-related macular degeneration (AMD). AMD is a main source of vision loss even blindness in the elderly and there is no effective treatment right now. Our aim is to describe the relationship between the morphology of RPE cells and the age and genotype of the eyes. We use principal component analysis (PCA) or functional principal component method (FPCA), support vector machine (SVM), and random forest (RF) methods to analyze the morphological data of RPE cells in mouse eyes to classify their age and genotype. Our analyses show that amongst all morphometric measures of RPE cells, cell shape measurements (eccentricity and solidity) are good for classification. But combination of cell shape and size (perimeter) provide best classification. INDEX WORDS: Principal component analysis, Functional principal component analysis, Support vector machine, Random forest, Retinal pigment epithelium CLASSIFICATION OF GENOTYPE AND AGE OF EYES USING RPE CELL SIZE AND SHAPE
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