Bioinformatics Protocol for Investigating Novel Biomarkers, Conducting Statistical Analysis, and Exploring Molecular Pathways: A Unified Approach for Alzheimer's Disease v1

This protocol paper presents a comprehensive bioinformatics approach aimed at identifying novel biomarkers associated with Alzheimer's disease (AD) using RNA sequencing (RNA-seq) datasets obtained from the Gene Expression Omnibus (GEO) database. Alzheimer's disease is a complex neurodegenerative disorder characterized by progressive cognitive decline, and identifying biomarkers is crucial for early diagnosis and therapeutic intervention. Leveraging bioinformatics tools and methods, this protocol outlines a step-by-step procedure for analyzing RNA-seq data to uncover potential biomarkers. The protocol includes data collection from the GEO database, quality control assessment, differential expression analysis, functional annotation, pathway enrichment analysis, and molecular pathway identification. Statistical analysis is applied throughout the protocol to ensure the robustness and reliability of the results. By following this protocol, researchers can systematically identify and validate novel biomarkers associated with Alzheimer's disease, ultimately contributing to a better understanding of its underlying molecular mechanisms and facilitating the development of targeted therapeutic interventions.