PDF) Multiomics and machine learning in lung cancer prognosis

Identification of CDT1 as a prognostic marker in human lung adenocarcinoma using bioinformatics approaches [PeerJ]

Integrative models of histopathological images and multi-omics data predict prognosis in endometrial carcinoma [PeerJ]

Multi-omics integrated circulating cell-free DNA genomic signatures enhanced the diagnostic performance of early-stage lung cancer and postoperative minimal residual disease - eBioMedicine

Machine learning based combination of multi-omics data for subgroup identification in non-small cell lung cancer

Multi-omics and deep learning provide a multifaceted view of cancer

The artificial intelligence and machine learning in lung cancer immunotherapy, Journal of Hematology & Oncology

Integrated multi-omics analysis of ovarian cancer using variational autoencoders

Diagnosis and prognosis of breast cancer by high-performance serum metabolic fingerprints

Integration of machine learning and genome-scale metabolic modeling identifies multi-omics biomarkers for radiation resistance

PDF] Onco-Multi-OMICS Approach: A New Frontier in Cancer Research

Frontiers Deep Learning-Based Multi-Omics Data Integration Reveals Two Prognostic Subtypes in High-Risk Neuroblastoma

PDF) Machine learning based combination of multi-omics data for subgroup identification in non-small cell lung cancer

Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images - Modern Pathology