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Additional file 3: of CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features
Additional file 3: of CRlncRC: a machine learning-based method for cancer-related long noncoding RNA identification using integrated features
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Figshare
2024-02-13 更新
2026-04-08 收录
癌症相关lncRNA识别
特征重要性分析
数据链接:
https://springernature.figshare.com/articles/dataset/Additional_file_3_of_CRlncRC_a_machine_learning-based_method_for_cancer-related_long_noncoding_RNA_identification_using_integrated_features/7538450/1
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资源简介:
Features importance. (XLSX 11 kb)
应用场景:
提供机构:
Li, Jing; Wang, Jun; Chen, Wen; Zhang, Xuan; Liu, Changning
创建时间:
2019-01-01
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Feature importance for the Random Forest model.
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The adjusted distribution signifies that if the value is above 50%, it is predicted to be particularly important for female names.
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