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Regression Modeling Of Different Proteins Using Linear And Multiple Analysis.pdf

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Preview of Regression Modeling of Different Proteins using Linear and Multiple Analysis
🔗 Source: iaees.org
📊 Size: 351 KB
👤 Author: Administrator
⬇️ Downloads: 221

Summary

Eleven proteins and one output were considered, and the results were validated using adjusted regression coefficient, predicted regression coefficient, regression coefficient cross-validation, rm2, and F-test values. Multiple regression analysis was used to analyze the relationship between the proteins, and the results showed the coefficient, standard error, standard coefficient, tolerance, t-value, and p-value. Correlation matrices were also presented for the eleven proteins and one output. The study aimed to investigate the relationship between the proteins and their role in cell survival/apoptosis.

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Eleven proteins and one output were considered, and the results were validated using adjusted regression coefficient, predicted regression coefficient,...

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  • File Format: PDF
  • File Size: 351 KB
  • Pages: 14
  • Language: EN
  • Author: Administrator
  • Total Downloads: 221
  • Last Updated: 2 hours ago

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