Completed
Drawing and Interpreting Heatmaps
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
High Throughput Sequencing
Automatically move to the next video in the Classroom when playback concludes
- 1 StatQuest: A gentle introduction to RNA-seq
- 2 StatQuest: A gentle introduction to ChIP-Seq
- 3 StatQuest: Principal Component Analysis (PCA), Step-by-Step
- 4 StatQuest: PCA in R
- 5 StatQuest: PCA in Python
- 6 RPKM, FPKM and TPM, Clearly Explained!!!
- 7 StatQuest: MDS and PCoA
- 8 StatQuest: t-SNE, Clearly Explained
- 9 StatQuest: Hierarchical Clustering
- 10 Drawing and Interpreting Heatmaps
- 11 StatQuest: DESeq2, part 1, Library Normalization
- 12 StatQuest: edgeR, part 1, Library Normalization
- 13 StatQuest: edgeR and DESeq2, part 2 - Independent Filtering
- 14 StatQuest: MDS and PCoA in R
- 15 StatQuest: P Values, clearly explained
- 16 False Discovery Rates, FDR, clearly explained
- 17 Fisher's Exact Test and the Hypergeometric Distribution
- 18 StatQuest: RNA-seq - the problem with technical replicates
- 19 StatQuest: Logs (logarithms), clearly explained
- 20 StatQuest: PCA main ideas in only 5 minutes!!!
- 21 Principal Component Analysis (PCA) clearly explained (2015)
- 22 StatQuest: Linear Models Pt.1 - Linear Regression
- 23 StatQuest: Linear Regression in R
- 24 StatQuest: Linear Models Pt.2 - t-tests and ANOVA
- 25 StatQuest: Linear Models Pt.3 - Design Matrices (old version)
- 26 StatQuest: Linear Models Pt.3 - Design Matrix Examples in R
- 27 StatQuest: K-means clustering
