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ECE365: Biological Data Analytics (Lectures)
You will be able to find the lecture topics and slides here.
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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] |
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| 4 |
Transcript Quantification |
[lect3&4] |
Original RSEM publication [link] |
| 5 |
Differential Expression |
[lect5] |
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| 6 |
Differential Expression |
[lect6&7] |
Linear Model of Differential Expression [link]
Design Matrix for Least Squares Regression [link] |
| 7 |
Differential Expression |
[lect6&7] |
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| 8 |
Gene Set Enrichment Analysis |
[lect8] |
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| 9 |
Gene Regulatory Networks |
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Guide to Weighted Gene Co-Expression
Network Analysis (WGCNA) [link] |
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