1. deep learning for regression
- deep learning and regression
- one-hot encoding
- predict the impact of RNA modification on RNA expression
2. weakly supervised learning
- in-exact supervision
- multi-instance learning
- deep learning and Python
- sequenced-based prediction of RNA methylation sites
3. negative binomial mixture
- EM algorithm
- more statistical and theoretical
4. Oxford Nanopore data analysis
- Third generation sequencing
- Deal with raw data
- more bioinformatics and programming
5. Annotation web server for RNA modification sites
- comparing with existing works
- build one of our own
6. finding viral m6A sites from m6A-seq data
- need to know exomePeak2
- collaborate with Zhen Wei
- more bioinformatics pipeline build
