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