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A Novel Biomarker Selection Method Combining Graph Neural Network and Gene Relationships Applied to Microarray Data

2022-04-18

Abstract excerpt

<h4>Background: </h4> The discovery of critical biomarkers is significant for clinical diagnosis, drug research and development. Researchers usually obtain biomarkers from microarray data, which comes from the dimensional curse. Feature selection in machine learning is usually used to solve this problem. However, most methods do not fully consider feature dependence, especially the real pathway relationship of gen...

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Literature Corpus work
8b3dee9d-ebd1-516b-93b0-e0e1fab7f5ff
DOI
10.21203/rs.3.rs-1557151/v1
Open publication

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A Novel Biomarker Selection Method Combining Graph Neural Network and Gene Relationships Applied to Microarray DataDOI 10.21203/rs.3.rs-1557151/v1
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