A Hybrid Ensemble-Based Parallel Learning Framework for Multi-Omics Data Integration and Cancer Subtype Classification
收藏NIAID Data Ecosystem2026-05-10 收录
下载链接：
https://figshare.com/articles/dataset/A_Hybrid_Ensemble-Based_Parallel_Learning_Framework_for_Multi-Omics_Data_Integration_and_Cancer_Subtype_Classification/29651183
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资源简介：
The code supports replication of results on TCGA Pan-cancer and BRCA datasets and includes data preprocessing, model training, and evaluation scripts:
Python scripts for data preprocessing and integration
Autoencoder implementation for multimodal feature learningHybrid ensemble training code (DL/ML models and meta-learner)PSO and backpropagation hybrid optimization codeParallel execution scriptsInstructions for replicating results on TCGA Pan-cancer and BRCA datasets
创建时间：
2025-10-03
