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.

中文翻译：

---

GenoML：基因组学的自动化机器学习

GenoML是一个Python软件包，它以开放的科学原理自动完成了针对基因组学（遗传学和多组学）的机器学习工作流程。基因组学数据需要大量领域的专业知识才能清理，预处理，协调和执行数据质量控制。此外，调整，验证和解释还涉及生物学以及潜在的数据收集，协议和技术的局限性。GenoML的使命是通过开发易于使用的工具来自动化基因组和临床数据的机器学习，该工具可自动执行完整的开发，评估和部署过程。重点放在开放式科学上，以使工作流在科学界内易于访问，可复制和转移。源代码和文档可从https://genoml.com获得。