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Table S5 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
Table S5 from Federated Deep Learning Enables Cancer Subtyping by Proteomics
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Figshare
2025-09-04 更新
2026-04-28 收录
癌症亚型预测
蛋白质组学特征
数据链接:
https://figshare.com/articles/dataset/Table_S5_from_Federated_Deep_Learning_Enables_Cancer_Subtyping_by_Proteomics/30050571
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资源简介:
Feature importance for cancer subtype prediction using SHAP.
应用场景:
创建时间:
2025-09-04
相关数据集
Additional file 4 of WMRCA + : a weighted majority rule-based clustering method for cancer subtype prediction using metabolic gene sets
癌症亚型预测
代谢基因分析
Supplementary Material 4: File S1. Results of gene set variation analysis for LUAD and LUSC subtypes.
DataCite Commons
2025-07-08 更新
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PREDICTING BREAST CANCER SUBTYPES AND GRADES USING MRI TEXTURE ANALYSIS
医学影像分析
癌症亚型预测
This study investigates the potential of texture-based radiomics derived from breast magnetic resonance imaging (MRI) to enhance breast cancer diagnosis and classification, including the prediction of
Figshare
2025-05-16 更新
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Additional file 4 of WMRCA + : a weighted majority rule-based clustering method for cancer subtype prediction using metabolic gene sets
癌症亚型预测
代谢基因分析
Supplementary Material 4: File S1. Results of gene set variation analysis for LUAD and LUSC subtypes.
Figshare
2025-07-08 更新
2
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Additional file 5 of Novel feature selection method via kernel tensor decomposition for improved multi-omics data analysis
蛋白质组学特征
功能富集
Additional file 5: Data S4. List of selected features and enrichment analysis for proteome of Plasma.
NIAID Data Ecosystem
4
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sPLS-DA VIPs.
蛋白质组学特征
DA判别分析
For each protein the variable importance was calculated using the mean of VIPs across the sPLS-DA components. (CSV)
Figshare
2025-07-01 更新
3
0
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