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Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancer
A Review of Cancer Persistent Cells: Lessons from Single-Cell Omi
PDF) Multiomics and machine learning in lung cancer prognosis
Frontiers A survey on multi-omics-based cancer diagnosis using machine learning with the potential application in gastrointestinal cancer
Applying multi‐omics toward tumor microbiome research - Zhang - 2023 - iMeta - Wiley Online Library
DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysis - ScienceDirect
Single-cell transcriptomics reveals the drivers and therapeutic targets of lymph node metastasis in lung adenocarcinoma
Machine learning application in personalised lung cancer recurrence and survivability prediction - ScienceDirect
Frontiers Deep Learning-Based Multi-Omics Data Integration Reveals Two Prognostic Subtypes in High-Risk Neuroblastoma
Frontiers A review of multi-omics data integration through deep learning approaches for disease diagnosis, prognosis, and treatment