Stacked Deep Learning Ensemble for Multiomics Cancer Type Classification: Development and Validation Study
Abstract Background: Cancer is one of the leading causes of disease burden globally, and early and accurate diagnosis is crucial…
cancer classification
Interpretable graph Kolmogorov–Arnold networks for multi-cancer classification and biomarker identification using multi-omics data
Abstract The integration of heterogeneous multi-omics datasets at a systems level remains a central challenge for developing analytical and computational…
Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review
Abstract Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells that can…
An epithelial-mesenchymal plasticity signature identifies two novel LncRNAs with the opposite regulation
Abstract The epithelial to mesenchymal transition (EMT) is crucial for cancer progression and chemoresistance. EMT is a dynamic process with…