Week of November 9th
1
Week of November 9th
2
Readings
2.1
DIMM-SC
2.1.1
Summary
2.2
Bayesian Hierarchichal Models and GLM
2.2.1
1. Introduction
2.2.2
2. Models and algorithms
2.2.3
3. Features
2.3
kTWAS: Integrating kernel-machine with transcriptome-wide association studies improves statistical power and reveals novel genes
2.3.1
Introduction
2.3.2
Materials and methods
3
Programming
3.1
Learning about Sam/Bam
3.1.1
Terms
3.1.2
Alignment section: Mandatory fields
4
Online Classes
4.1
Machine Learning
4.1.1
Practical Machine Learning
5
Lectures and Webinars
5.1
Transethnic Genetics
5.1.1
Alica Martin, PhD
5.1.2
Omer Weissbrod
5.1.3
LD Differences
5.1.4
MAF Differences
5.1.5
Different genetic architectures
5.2
Neurogenetics in Biowulf
5.2.1
Meta GWAS
5.2.2
Basic workflow
5.2.3
Results
5.2.4
Population Scale Analyses
5.2.5
Shared heritability across phenotypes
5.2.6
Heritability and polygenic risk estimates
5.2.7
Where are we now with risk locus discovery in PD
5.2.8
Next Steps in NDD genetics
Published with bookdown
Week of November 9th
Week of November 9th
Chiraag Gohel
17-11-2020
Chapter 1
Week of November 9th