Biological Data Analysis and Visualization // Provides tools for the analysis and visualization of gene expression data from the NCBI Gene Expression Omnibus (GEO). Implements a complete workflow including data import, quality control, differential expression analysis, co-expression network analysis, pathway enrichment, and multi-gene biomarker discovery. Differential expression uses the empirical Bayes moderated t-statistic of Smyth (2004) doi:10.2202/1544-6115.1027. Gene set enrichment analysis follows Subramanian et al. (2005) doi:10.1073/pnas.0506580102. Multi-gene biomarker selection uses the LASSO method of Tibshirani (1996) doi:10.1111/j.2517-6161.1996.tb02080.x. Effect sizes are computed as Cohen's d following Cohen (1988).