Integrating computational pathology and multi-transcriptomics to characterize lung adenocarcinoma heterogeneity and prognostic modeling https://t.co/K6ZFj7HHtc
A Novel Method for Endometrial Cancer Patient Stratification Considering ARID1A Protein Expression and Activity with Effective Use of Multi-omics Data https://t.co/MOhCZ92tep
Intervention of machine learning in bladder cancer research using multi-omics datasets: systematic review on biomarker identification https://t.co/xf3VwA3Xqq
… m6A‐Related Genes in Tumor‐Associated Macrophages for Prognosis, Immunotherapy, and Drug Prediction in Lung Adenocarcinomas Based on Machine Learning … https://t.co/DlvygNAGlp
Longitudinal structural and perfusion MRI enhanced by machine learning outperforms standalone modalities and radiological expertise in high-grade glioma … https://t.co/dl8DFKHnNx