Sepsis Patient Modeling Using Population Demographics
نویسنده
چکیده
Analysis of gene expression microarray data for pathophysiology of sepsis is crucial for sepsis diagnosis and treatment. With several limitations of gene expression profiling experiment, statistically accurate simulated microarray datasets is an economical method for disease diagnosis. In this work, control and sepsis patient models are developed. This is done by incorporating the variation in gene expression values due to the effect of sepsis, age, ethnicity, genetic effect of co-morbidity associated with the patient in the model, and statistically valid gene expression data for sepsis and control are simulated with high degree of accuracy.
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