ECE365: Biological Data Analytics (Lectures)
You will be able to find the lecture topics and slides here.
|
Lecture Topic |
Links |
Supplementary Resources |
1 |
Introduction to Biology |
[lect1] |
Molecular Biology for Computer Scientists [link] |
2 |
Expectation Maximization |
[lect2] |
Mixture Models and EM [link] |
3 |
RNA-seq Technologies |
[lect3&4] |
|
4 |
Transcript Quantification |
[lect3&4] |
Original RSEM publication [link] |
5 |
Differential Expression |
[lect5] |
|
6 |
Differential Expression |
[lect6&7] |
Linear Model of Differential Expression [link]
Design Matrix for Least Squares Regression [link] |
7 |
Differential Expression |
[lect6&7] |
|
8 |
Gene Set Enrichment Analysis |
[lect8] |
|
9 |
Gene Regulatory Networks |
|
Guide to Weighted Gene Co-Expression
Network Analysis (WGCNA) [link] |
|