Recorded Webinars and Videos

Recorded videos from Bioinformatics, Computational Biology, and Network Analysis webinars and workshops

1. Introduction to Machine Learning on Biomedical Data
2. Network Analysis Made Simple: Network Fundamentals
3. Social Network Analysis with NetworkX- Working with a DataSet
4. Complex Network Analysis in Python: Recognize → Construct → Visualize → Analyze → Interpret
5. Network Analysis Practice Using igraph and Gephi
6. Complex network analysis with NetworkX| PyData Global 2020
7. Complex networks: connections, measurements, and social systems with Sune Lehmann
8. Quick practical introduction to Network Analysis with Gephi
9. Use of Python for Complex Network Analysis
10. Social Network Analysis: From Graph Theory to Applications with Python
11. Gephi Tutorial on Network Visualization and Analysis
12. Network models
13. Network-Based Modeling of Complex Systems
14. Social Network Analysis: Structural Holes, Brokerage & Closure
15. Node centrality and ranking on networks
16. Introduction to Data Science - NetworkX Tutorial
17. Webinar: Social Network Analysis: Getting and Marshalling Data
18. Social network analysis: Considerations for data collection and analysis
19. Network Neuroscience: Mapping and Modeling Complex Brain Networks (Dr. Olaf Sporns)
20. Introduction to Brain Network Analysis
21. Graph partitioning.
22. Network communities.
23. An introduction to the R programming language for Bioinformatics students
24. Healthcare data analysis and visualization using Power BI
25. Accelerating Drug Discovery with Machine Learning and AI
26. Machine Learning in Genomics: Data and resource needs for machine learning in genomics
27. Deep Learning in the Biomedical Sciences
28. BioData manipulation with Python
29. Introduction to Weighted Gene Co-expression Network Analysis (WGCNA) 
30. An Introduction to Social Network Analysis in Psychology
31. Modeling epidemics on complex networks
32. Multi-agent models in complex networks
33. Bioinformatics for genomics and gene editing
34. The History of Genomics Told Through Machine Learning
35. The Structure of Complex Networks: Scale-Free and Small-World Random Graphs
36. Graph-Powered Machine Learning
37. Biomarkers Identification using Machine Learning
38. Co-expression network analysis using RNA-Seq data
39. Metagenomics Analysis
40. Statistical Methods in Computational Biology
41. Network visualization with Gephi
42. Getting Started with Network Data Using Gephi
43. Collect, process and visualize Instagram social network
44. Financial Network Analysis using Python 
45. Co-expression network analysis using RNA-Seq data
46. A Tutorial Review of Functional Connectivity Analysis Methods and Their Interpretational Pitfalls
47. Think Graph Neural Networks (GNN) are hard to understand? Try this two part series..
48. Conducting Network Analysis in R
49. Machine Learning with Graphs: PageRank Random Walks and embedding
50. Eric Ma: Network Analysis Made Simple
51. How to Analyze Social Media Networks with Kumu and NodeXL
52. Graph Theory: Nearest Neighbor Algorithm (NNA)