MATH-474: Statistics for genomic data analysis

About
Privacy
Disclaimer

Graph Chatbot

Lectures in this course (29)

Survival Analysis: Modeling and Estimation

Covers survival data analysis, Cox regression, Kaplan-Meier estimator, and log-rank test.

Cluster Analysis: Methods and Applications

Explores cluster analysis methods and applications in genomic data analysis, covering classification, gene expression clustering, visualization, distance metrics, and clustering algorithms.

Survival Analysis: Cox Proportional Hazards Model

Introduces the Cox proportional hazards model for survival analysis, covering estimation, assessment of assumptions, and interpretation using residuals.

Genomic Data Analysis: Clustering and Survival

Explores genomic data clustering, survival analysis, gene identification, and statistical significance in cancer research.

Categorical Data Analysis: Methods and Examples

Explores the analysis of categorical and discrete data with examples.

Visualizing Categorical Data: Methods and Examples

Explores tools for visualizing categorical data to detect patterns and trends.

Genetic Linkage and Association Studies

Explores genetic linkage, association studies, polymorphisms, and LD in genetic mapping.

Genetic Association Studies: Methods and Challenges

Explores genetic association study methods, challenges, and limitations in analyzing genetic data.

Principal Component Analysis: Understanding Data Structure

Explores Principal Component Analysis, dimensionality reduction, data quality assessment, and error rate control.

Page 2 of 2