Causality and Statistical Reasoning (CMU)
Topics Covered
- Causation
- Association and Independence
- Causation to Association
- Association to Causation: Problems
- Association to Causation: Strategies
Big Data Science (BD2K-LINCS)
Course Syllabus
- Overview of the NIH Common Fund LINCS Program
- Overview of the Data Signature Generation Centers (experiments and data)
- Meta-Data and Ontologies
- Data Normalization
- Unsupervised Learning Methods: Data Clustering
- Supervised Learning Methods
- Enrichment Analyses
- Bayesian Data Integration
- Network Analysis and Network Visualization
- Cheminformatics
- Serving data through RESTful APIs and JSON
- Interactive Data Visualization of LINCS Data