Results of SVM-RFE algorithm in screening feature genes.

Results of SVM-RFE algorithm in screening feature genes.

<p>Results of SVM-RFE algorithm in screening feature genes.</p>

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Bibliographic Details
Main Author:	Nan Huang (464390) (author)
Other Authors:	Chan Liu (5545364) (author), Zheng Liu (28397) (author), Haibo Lei (20422249) (author)
Published:	2024
Subjects:	Cell Biology Genetics Molecular Biology Immunology Biological Sciences not elsewhere classified Information Systems not elsewhere classified obtained four mirnas newly discovered method experimental verification revealed acute myocardial infarction robust diagnostic value potential prognostic value prognostic analysis revealed comprehensive bioinformatics approach risk model showed potential diagnostic value xlink "> disulfidptosis validation </ p machine learning algorithms seven hub genes immune microenvironment analysis machine learning immune microenvironment diagnostic model bioinformatics analysis hub genes predictive analysis related genes hypoxic model potential role study demonstrated sixteen de related gene new perspective fully elucidated early diagnosis disorderedly expressed constructed based closely related cell death 940 ).
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