Machine learning is a branch of artificial intelligence (AI) involving computer programs that are able to improve their own performance through experience (training). The diverse applications of new ‘deep learning’ approaches with neural networks are now expanding into the field of biology. But these applications to biological data require more scrutiny and caution to increase the standards of publishing and allow the AI revolution in biology to take off. David Jones discusses problems associated with the application of machine learning to biology and advocates for improving publishing standards in this area through a more thorough reporting on the design of the computational experiments.

中文翻译：

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为生物学中的机器学习设定标准。

机器学习是人工智能（AI）的一个分支，涉及计算机程序，这些程序能够通过经验（培训）来提高自身的性能。带有神经网络的新“深度学习”方法的各种应用现在正在扩展到生物学领域。但是，这些对生物数据的应用需要更多的审查和谨慎，以提高发布标准，并使AI在生物学方面的革命席卷而来。戴维·琼斯（David Jones）讨论了将机器学习应用于生物学的相关问题，并主张通过对计算实验的设计进行更全面的报告来提高该领域的出版标准。