Statistical Analysis Gene Expression

Statistical Analysis Gene Expression involves the use of mathematical and computational methods to analyze and interpret data related to the expression of genes. This includes identifying patterns, correlations, and trends in gene expression data to gain insights into the underlying biological processes. Techniques such as normalization, differential expression analysis, clustering, and pathway analysis are commonly used in this field to extract meaningful information from large-scale gene expression datasets.

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