This is the repository for the lab module of the Machine Learning for Bioinformatics course as thought in the Spring of 2019. It contains the materials covered in the lab sessions.
- Main course webpage
- Yuzhen Ye
- Moses Stamboulian (TA)
- [No Lab] (week 1)
- Introduction to R & clustering (week 2)
- Single Cell RNA Sequencing Using R (week 3)
- RNAS-seq, raw reads to differential expression (week 4)
- Machine learning with SK-learn Python (week 5)
- Machine learning Continued (real life example) (week 6)
- Beat My Classifier (week 7)
- Learning & Prediction (using Glimmer) (week 8)
- Using ChromHMM (week 9)
- Using HMMER (week 10)
- [Lab implementation of the Viterbi algorithm ?] (week 11)
- [No lab] (week 12)