Please note: this site is for Professor Mezey's Quantitative Genomics Class. For more information on Professor Mezey, please see his Cornell Departmental profile and his Research Site.
For two decades, Professor Mezey taught the course Quantitative Genomics and Genetics, offered simultaneously at Cornell University (Ithaca, New York) and Weill Cornell Medicine (New York, New York). The course provides a rigorous treatment of analysis techniques used to understand complex genetic systems, including both the fundamentals and advances in statistical methodology used to identify genetic loci impacting disease, agriculturally relevant, and evolutionarily important phenotypes. Full course availability is restricted to students at Cornell University, Cornell Tech, Weill Cornell Medicine, Memorial Sloan Kettering, and Rockefeller University where over a thousand students among these institutions have taken the course. While access to the full course is limited, the lecture slide decks and videos for Spring 2024 - the last time the course was offered by Dr. Mezey - are made available here under the following conditions of use: no person or entity is allowed to use these course material - or anything derived from course materials - for any for-profit purposes, directly or indirectly. Please contact the Department of Computational Biology at Cornell University for any additional information.
Quantitative Genomics and Genetics - Spring 2024
Lecture 1 (Jan 23) - Logistics / Intro to Quant Gen
Lecture 2 (Jan 25) - Probability Basics
Lecture 3 (Jan 30) - Conditional Probability / Random Variables
Lecture 4 (Feb 1) - Random Vectors
Lecture 5 (Feb 6) - Expectations and Variances
Lecture 6 (Feb 8) - Covariances / Probability Models
Lecture 8 (Feb 15) - Statistics / Estimators
Lecture 8 (Feb 15) - whiteboard
Lecture 9 (Feb 20) - Maximum Likelihood Estimation
Lecture 9 (Feb 20) - whiteboard
Lecture 10 (Feb 22) - MLE / CI
Lecture 11 (Feb 29) - Hypothesis Testing 1
Lecture 11 (Feb 29) - whiteboard
Lecture 12 (March 5) - Hypothesis Testing 2
Lecture 13 (March 7) - Genetic Probability Model
Lecture 13 (March 7) - whiteboard
Lecture 14 (March 12) - Genetic Inference
Lecture 15 (March 14) - Genetic Hypothesis Testing
Lecture 16 (March 19) - Introduction to GWAS
Lecture 17 (March 21) - GWAS Analysis
Lecture 18 (March 26) - GWAS Statistical Issues
Lecture 19 (March 28) - Covariates / QQ Plots
Lecture 20 (April 9) - Population Structure
Lecture 21 (April 11) - Minimal GWAS
Lecture 22 (April 16) - Logistic Regression 1
Lecture 22 (April 16) - whiteboard
Lecture 23 (April 18) - Logistic Regression 2
Lecture 24 (April 23) - Logistic Regression 3
Lecture 25 (April 25) - Mixed Models
Lecture 26 (April 30) - Bayesian Statistics 1
Lecture 27 (May 2) - Bayesian Statistics 2
Lecture 28 (May 7) - Classic Quantitative Genetics
End QuantGen 2024
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