(a) The plot is visualized to understand the association between the number of trees in our RF model and its error rate.

<p>The stable error rate with different numbers of trees indicates that the model has an optimal performance level with the current number of trees. (b) The genes that are predicted as hub genes by the RF model. (c) The genes identified by the SVM model as important features. (d) The Venn diag...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Devi Soorya Narayana Sasikumar (22331743) (author)
مؤلفون آخرون:	Vino Sundararajan (14514034) (author)
منشور في:	2025
الموضوعات:	Biochemistry Cell Biology Genetics Molecular Biology Immunology Cancer Infectious Diseases Biological Sciences not elsewhere classified Information Systems not elsewhere classified relevant modules relevant lipid peroxide accumulation least absolute shrinkage immune infiltrating cells future studies focusing functional annotation analysis involving symmetric joints support vector machine related genes associated differentially expressed genes using r software sat1 contribute significantly protein interaction network gene expression omnibus xlink "> nampt xlink "> pathways involving three machine machine learning hub genes genes showed common genes 314 genes 17 genes wgcna ). underlying mechanisms transcriptomic dataset therapeutic targets therapeutic potential systemic involvement svm ), substantial association selection operator roc curve rf ), potential biomarkers nomogram plots level contributions learning algorithms larger cohorts influencing immunity inflammatory diseases gene ontology chronic presentation biological functions
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

(a) The plot is visualized to understand the association between the number of trees in our RF model and its error rate.

مواد مشابهة