Ten quick tips for sequence-based prediction of protein properties using machine learning

• Qingzhen Hou ,

  Contributed equally to this work with: Qingzhen Hou, Katharina Waury, Dea Gogishvili, K. Anton Feenstra

  Affiliations Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Shandong, P. R. China, National Institute of Health Data Science of China, Shandong University, Shandong, P. R. China

  https://orcid.org/0000-0002-7655-0899

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• Katharina Waury ,

  Contributed equally to this work with: Qingzhen Hou, Katharina Waury, Dea Gogishvili, K. Anton Feenstra

  Affiliation Department of Computer Science, Bioinformatics Group, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands

  https://orcid.org/0000-0002-8570-7640

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• Dea Gogishvili ,

  Contributed equally to this work with: Qingzhen Hou, Katharina Waury, Dea Gogishvili, K. Anton Feenstra

  Affiliation Department of Computer Science, Bioinformatics Group, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands

  https://orcid.org/0000-0001-8809-0861

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• K. Anton Feenstra

  Contributed equally to this work with: Qingzhen Hou, Katharina Waury, Dea Gogishvili, K. Anton Feenstra

  * E-mail: k.a.feenstra@vu.nl

  Affiliation Department of Computer Science, Bioinformatics Group, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands

  https://orcid.org/0000-0001-6755-9667

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