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用相似有效的二元分类性能选择多个生物标记子集
JoVE Journal
Cancer Research
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JoVE Journal Cancer Research
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
DOI:

07:35 min

October 11, 2018

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Chapters

  • 00:04Title
  • 00:33Dataset Preparation
  • 01:48Interactive Visualized Results Production
  • 03:13Gene Annotation Location and Association with Human Diseases
  • 05:37Results: Representative Biomarker Subset Selection
  • 07:04Conclusion

Summary

Automatic Translation

现有算法为生物标志物检测数据集生成一个解决方案。该协议演示了多个类似的有效解决方案的存在, 并提供了一个用户友好的软件, 以帮助生物医学研究人员调查其数据集的建议的挑战。计算机科学家也可以在他们的生物标志物检测算法中提供这一特性。

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