Protein Expression classification models are frequently viewed not only as a difficult task, but also as a classification problem that, in some cases, requires a trade-off between accuracy and efficiency in analysis validation due to the large amount of data available. Expression levels of 77 proteins measured in the cerebral cortex of 8 classes of control and Down syndrome mice exposed to context fear conditioning, a task used to assess associative learning. The aim is to identify subsets of proteins that are discriminant between the classes. Basically, this is multi-class classification problem
https://www.youtube.com/watch?v=0Rt9RcMMqow
https://mice-protein--expression.herokuapp.com/
HLD/LLD/Architecture/DPR : https://drive.google.com/drive/folders/18ZT7pDXsBhl_65RpkLonHWmTa41LBcNj?usp=sharing
MongoDB database has been used to store training, prediction dataset and for logging
- python 3.x
- Flask
- pandas
- mysql-connector-python
- kneed
- scikit-learn
- xgboost
- Sayan Saha