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Table of Contents
ABSTRACT
Keywords
1 Introduction
2 GenoML Principles and Philosophy
3 Project Vision
4 Conclusion
References
Summary
GenoML is a Python package automating machine learning workflows for genomics with an open science philosophy. It aims to make machine learning for genomics and clinical data accessible to non-experts by developing an easy-to-use tool that automates the full development, evaluation, and deployment process. GenoML advocates for open science and provides an end-to-end framework for genomic datasets, including data pre-processing, cleaning, training, and tuning. The tool intelligently explores different techniques to find the best model for the input data. GenoML is designed to be intuitive, with intelligent defaults and a layered architecture for easy use. It also promotes a safe and inclusive community for positive research outcomes.