This is not a tutorial of how to use streamlit, you can find great tutorials in the streamlit docs and medium articles. This is the summary of my trial and error deploying an app and debugging the most frequent bugs with streamlit sharing.
For those who don’t know streamlit, it’s an open-source app framework for data scientists to deploy their data apps in a few lines of code. The use of streamlit is very easy. Here, we are talking about building the app, because deploying the app is another story. It’s as they call it: Ridiculously Easy.
Now, let’s dive…
In this article, I would like to talk about 3 tricks that helped me to efficiently train models and win a silver medal in a kaggle competition where the dataset was mislabeled and contained a significant amount of noise.
In this article, we will identify the viral proteins in the novel COVID-19 genome with biopython and do a comparative analysis with the SARS and bat coronaviruses.
Discovering a new drug has always been a long process that takes years. With the recent advances of AI and the accumulation of research data in biological databases, the drug discovery process and the research pace are getting faster than ever. Researchers in the laboratory of innovation and science at Harvard are working on the Connectivity MAP project  with the goal of advancing drug development through improvements to the drugs MoA prediction algorithms. This challenge was launched as a kaggle competition  in order to build machine learning models to predict the MoA of unknown drugs.
We start by…