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pyPAGE: Revaling Regulatory Mechanisms in Gene Expression through Unbiased Gene-set Enrichment Analysis

Understanding the regulatory mechanisms driving changes in gene expression is fundamental to systems biology. Our tool, pyPAGE, provides an unbiased method for identifying patterns of transcriptional and post-transcriptional regulation within specific cellular contexts. Applying pyPAGE to Alzheimer's disease bulk RNA sequencing data, we uncovered several novel regulators whose altered activity is significantly linked to the disease. Comprehensive analysis of additional single-cell and spatial sequencing data further confirms robustness of these patterns.Bakulin et al

Image Credit: Chiara Ricci-Tam, Scientific Design Strategist at Arc

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