  GenoML is a Python package automating machine learning workflows for genomics
(genetics and multi-omics) with an open science philosophy. Genomics data
require significant domain expertise to clean, pre-process, harmonize and
perform quality control of the data. Furthermore, tuning, validation, and
interpretation involve taking into account the biology and possibly the
limitations of the underlying data collection, protocols, and technology.
GenoML's mission is to bring machine learning for genomics and clinical data to
non-experts by developing an easy-to-use tool that automates the full
development, evaluation, and deployment process. Emphasis is put on open
science to make workflows easily accessible, replicable, and transferable
within the scientific community. Source code and documentation is available at
https://genoml.com.
