Master Hands-on International Course on AI-Assisted Protein-Protein Interaction (PPI) Network Analysis for Biomarker Discovery in 4 weeks through hands-on, project-based online training with DSTC.
Bioinformatics & Computational Biology
Module-by-module breakdown of Hands-on International Course on AI-Assisted Protein-Protein Interaction (PPI) Network Analysis for Biomarker Discovery, from foundations to a certified capstone project.
Outline
Understand genes, proteins and interaction networks • Explore disease‑related biomarker concepts • Navigate public PPI databases and the STRING platform • Perform Hands‑on: Search disease‑related genes in STRING
Outline
Import STRING networks into Cytoscape • Visualize nodes, edges, attributes and apply layouts • Analyse topology: degree, centrality, clustering, density • Run NetworkAnalyzer for comprehensive statistics
Outline
Apply CytoHubba to rank hub genes/proteins • Compare ranking algorithms: Degree, MCC, MNC, Closeness, Betweenness • Prioritize candidate biomarkers from ranked hubs • Utilize AI tools for literature‑based biological interpretation
e-Certificate and e-Marksheet issued on successful completion.