Machine learning research platform for automatically optimizing life sciences experiments

Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a user interface presentation using a life sciences research platform. In one aspect, a method includes: receiving input data for multiple life sciences experiments within a research domain, where input data includes a collection of experimental settings for the life sciences experiments, automatically generating multiple machine learning models for the research domain, where each machine learning model predicts a value for an experimental outcome metric, automatically selecting a final machine learning model within the research domain based on performance measures, and generating a user interface presentation of explainability data that explains a contribution of each setting in a collection of settings to the value for the experimental outcome metric predicted by the final machine learning model.