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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
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1College of Computer Science and Technology, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education,Jilin University, 2College of Software,Jilin University, 3Ultrasonography Department,China-Japan Union Hospital of Jilin University, 4Department of Pathogenobiology, College of Basic Medical Science,Jilin University
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
Existing algorithms generate one solution for a biomarker detection dataset. This protocol demonstrates the existence of multiple similarly effective solutions and presents a user-friendly software to help biomedical researchers investigate their datasets for the proposed challenge. Computer scientists may also provide this feature in their biomarker detection algorithms.
