bioloGPT: Evolve Code: This code analyzes gene expression data from pancreatic cancer studies to identify potential biomarkers for early detection. Include additional datasets for a more comprehensive analysis of gene expression across different stages of pancreatic cancer. Pancreas development pancreatic cancer progression diagnosis ### Gene Expression Analysis for Pancreatic Cancer Biomarkers import pandas as pd # Load gene expression data gene_data = pd.read_csv('gene_expression_data.csv') # Analyze expression levels of candidate biomarkers biomarkers = ['BNC1', 'ADAMTS1'] results = gene_data[gene_data['gene'].isin(biomarkers)] results.describe() ### Summary of Results This analysis provides insights into the expression levels of candidate biomarkers in pancreatic cancer samples. # Visualize results import matplotlib.pyplot as plt results.boxplot(column='expression', by='gene') plt.title('Expression Levels of Biomarkers') plt.show()