Analyzations on Pan-cancer from Chinese Patients

Inspiration

Cancer is a leading cause of death worldwide, it is important to do cancer search, that helps to improve methods of diagnosis and take care of patients.

What it does

It performs statistical analysis using regression plots to measure correlations between cancer-related factors and machine learning model to predict a selected variable.

How I built it

Using VSCode, local envirnoment for Python.

Challenges I ran into

I built 5 different machine learning models, but the mean square errors for prediction are all extremely large(500~1000), so the models I selected failed to predict the variable. I guess there are other factors that are more important in terms of determining this variable.

Accomplishments that I'm proud of

I discovered some interesting functions in Python that haven't been covered in class. Also learned several new regression models in machine learning.

What I learned

The most important implication conveyed by the results is that when dealing with clinical data from real life, it is unlikely to have a clear linear regression simply between two factors unless they are known to be related that proved by scientists.

What's next for Analyzations on Pan-cancer from Chinese Patients

I believe the most important thing is to do more search on cancer treatment and how to interpret these data

Built With

• python