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Analyzing Genetic Substitutions Across CYB and GHR Regions Using ML Inference

This study investigates the observed differences in substitutions across the CYB and GHR gene regions. Utilizing a machine learning approach, we infer the number of substitutions across different segments, yielding significant insights into the genetic variations. Our analysis focuses on quantifying the distribution of substitutions ranging from high to low frequencies, providing a comprehensive overview of genetic diversity. This research facilitates a deeper understanding of evolutionary patterns and potential implications for genetic studies in various biological contexts.

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Analyzing Genetic Substitutions Across CYB and GHR Regions Using ML Inference

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  1. 100 80 60 40 20 0 100 y = x 80 60 40 20 0 0 20 40 60 80 100 y = x 100 y = x CYB 1 GHR 1 80 60 40 20 0 0 20 40 60 80 100 0 100 200 300 400 100 y = x 80 CYB 2 GHR 2 60 Observed differences 40 20 0 0 20 40 60 80 100 1000 y = x 100 y = x 800 CYB 3 80 GHR 3 600 60 400 40 20 200 0 0 0 20 40 60 80 100 0 2000 4000 6000 ML inferred number of substitutions

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