Single (Simple) Nucleotide Polymorphisms (SNPs) and Genome-wide Association Studies
Learning objectives: after the class, students are expected to
- explain the concepts of SNPs
- explain potential applications of SNPs, which may include identification, GWAS, predisposition to diseases, personalized medicine
- understand the concept of haplotypes and Linkage Disequilibrium, able to estimate LD based on given data
- understand where one can look up information for SNPs and open resources for SNP data
- explain the concept of GWAS and the medical applications of GWAS
- understand the standard design of a GWAS stud
- elaborate the outcomes and impacts of a couple state-of-the-art GWAS studies
Teaching Materials
Predictive Models for Healthcare Analytics
Learning objectives: after the class, students are expected to
- define what are predictive models
- apply appropriate metrics to assess the performance of predictive models
- explain some basic predictive models, such as logistic regression, decision tree, neural network etc
- conduct retrospective clinical studies with appropriate predictive models
- interpret results from predictive models
- understand the future trend of predictive models
Teaching Materials
