Source Code: GitHub Competition Overview In this competition, you’ll develop machine learning (ML) models to predict the binding affinity of small molecules to specific protein targets – a critical step in drug development for the pharmaceutical industry that would pave the way for more accurate drug discovery. You’ll help predict which drug-like small molecules (chemicals) …
Source Code: GitHub Competition Statement The goal of this competition is to predict if a person has any of three medical conditions. You are being asked to predict if the person has one or more of any of the three medical conditions (Class 1), or none of the three medical conditions (Class 0). You will …
Competition Description: The goal of this competition is to predict the function of a set of proteins. You will develop a model trained on the amino-acid sequences of the proteins and on other data. Your work will help researchers better understand the function of proteins, which is important for discovering how cells, tissues, and organs …
This Kaggle competition represents a significant opportunity to impact the future of medicine development. The goal of this competition was to predict chemical perturbation gene expression on new cell lines from 144 small molecule drugs. The dataset consisted of gene expression data from 6 different cell types. Two of the cell types were severely under represented, …