Day 1
Transcriptomics 2, Pratim Chakraborty, August 5th, 2019
- Filtering, removing noise and Normalization Techniques
- Exploring multi-dimensional data using PCA visualization
- Principal Components and variance – outliers, filtering, normalization
Day 2
Transcriptomics 3, Mohit Mazumder, August 12th, 2019
- Correlation – detecting correlation of features and factors
- Clustering of samples using gene expression profiles
- Clustering of genes by expression profiles across samples
