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deep learning based multi omics data integration approach (Omics Data Automation)

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Omics Data Automation deep learning based multi omics data integration approach
Deep Learning Based Multi Omics Data Integration Approach, supplied by Omics Data Automation, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/deep+learning/approach+based+data+deep+integration+learning+multi+omics/pm42168900-290-22-24
Average 86 stars, based on 1 article reviews

deep learning based multi omics data integration approach - by Bioz Stars, 2026-10

86/100 stars

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Article Title: Artificial intelligence-powered liquid biopsy in cancer: a paradigm shift in cancer detection and personalized care.
Article Snippet: [85] S. Yang, Z. Wang, C. Wang, C. Li, and B. Wang, “Comparative Evaluation of Machine Learning Models for Subtyping Triple-Negative Breast Cancer: A Deep Learning-Based Multi-Omics Data Integration Approach,” J.

Article Title: DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma.
Article Snippet: Deep Learning-Based Multi-Omics Data Integration Reveals Two Prognostic Subtypes in High-Risk Neuroblastoma.

Article Title: Can classical statistics and deep learning converge on explainable, causally driven target discovery?
Article Snippet: 2021, OmiEmbed: A Unified Multi-Task Deep 4 Learning Framework for Multi-Omics Data.

Article Title: U-CBAMNet: an attention-guided deep learning model for accurate and explainable prediction of HER2 expression from breast ultrasound cine videos.
Article Snippet: Yang S, Wang Z, Wang C, Li C, Wang B: Comparative Evaluation of Machine Learning Models for Subtyping Triple-Negative Breast Cancer: A Deep Learning-Based Multi-Omics Data Integration Approach.

Article Title: Integrating Multi-Omics and Medical Imaging in Artificial Intelligence-Based Cancer Research: An Umbrella Review of Fusion Strategies and Applications
Article Snippet: S6 [ ] , Sartori, Flavio; Codicè, Francesco; Caranzano, Isabella; Rollo, Cesare; Birolo, Giovanni; Fariselli, Piero; Pancotti, Corrado , A Comprehensive Review of Deep Learning Applications with Multi-Omics Data in Cancer Research , 10.3390/genes16060648 , 2025.

Article Title: Agentic RAG-Driven Multi-Omics Analysis for PI3K/AKT Pathway Deregulation in Precision Medicine
Article Snippet: Comparative Evaluation of Machine Learning Models for Subtyping Triple-Negative Breast Cancer: A Deep Learning-Based Multi-Omics Data Integration Approach.

Biomarker Discovery:

Article Title: Design of an integrated model using U-Net, DeepSurv, and cross-attention for lung cancer classification and survival prediction
Article Snippet: .. , Deep Learning with Multi-Omics Data , Multi-omics data improves lung cancer classification , High accuracy for subtype prediction , Limited data availability for rare subtypes. .. , Fully Automated Screening System , End-to-end automation of lung cancer screening , High accuracy with automated segmentation , Generalization issues for unseen imaging modalities.

Comparison:

Article Title: Comprehensive pan-cancer analysis of FSCN1 as a marker for prognosis and immunity.
Article Snippet: .. Hum Pathol 2005, 36 (7), 741–746. https://doi.org/10.1016/j.humpath.2005.05.005. (18) Franco, E. F.; Rana, P.; Cruz, A.; Calderón, V. V.; Azevedo, V.; Ramos, R. T. J.; Ghosh, P. Performance Comparison of Deep Learning Autoencoders for Cancer Subtype Detection Using Multi-Omics Data. ..