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multi-omics data  (Omics Data Automation)

 
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    Omics Data Automation multi-omics data
    Multi Omics Data, supplied by Omics Data Automation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/multi+omics+data+generation/multi+omics+data/pm37968655-133-18-13
    Average 90 stars, based on 1 article reviews
    multi-omics data - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    Biomarker Discovery:

    Article Title: Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis.
    Article Snippet: Machine learning combined with multi-omics to identify immunerelated LncRNA signature as biomarkers for predicting breast cancer prognosis Yuxing Liu1,9, Jintao Chen2,9, Daifeng Yang3,9, Chenming Liu4, Chunhui Tang5, Shanshan Cai6 & Yingxuan Huang7,8 This study developed an immune-related long non-coding RNAs (lncRNAs)-based prognostic signature by integrating multi-omics data and machine learning algorithms to predict survival and therapeutic responses in breast cancer patients.

    Article Title: Comprehensive machine learning analysis of PANoptosis signatures in multiple myeloma identifies prognostic and immunotherapy biomarkers
    Article Snippet: This study established the first PANoptosis-related prognostic model for multiple myeloma by integrating multi-omics data with machine learning algorithms.

    Article Title: Development and validation of an MBD3/UHRF1 methylation-regulator-based prognostic model for pancreatic cancer survival
    Article Snippet: In the future, we plan to incorporate more types of data (such as multi-omics data) and larger sample sizes to further refine and enhance the model’s performance.

    Article Title: Identification of matrix stiffness-related molecular subtypes in HCC via integrating multi-omics analysis and machine learning algorithms.
    Article Snippet: Highlights • The 10 clustering algorithms based on the multi-omics data and 101 machine learning algorithm combinations were used to construct the matrix stiffness-related signature to predict the prognosis and the immune landscape of HCC.

    Article Title: Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis.
    Article Snippet: This study developed an immune-related long non-coding RNAs (lncRNAs)-based prognostic signature by integrating multi-omics data and machine learning algorithms to predict survival and therapeutic responses in breast cancer patients.

    Article Title: Machine learning identifies KRT8 dysregulation and endothelial remodeling in Moyamoya disease.
    Article Snippet: This study provides novel insights into the molecular mechanisms underlying MMD, and highlights promising drug targets through the integration of multi-omics data and machine learning approaches Materials and methods.

    Article Title: A Comprehensive Review of Deep Learning Applications with Multi-Omics Data in Cancer Research.
    Article Snippet: Academic Editor: Quan Zou Received: 25 April 2025 Revised: 24 May 2025 Accepted: 25 May 2025 Published: 28 May 2025 Citation: Sartori, F.; Codicè, F.; Caranzano, I.; Rollo, C.; Birolo, G.; Fariselli, P.; Pancotti, C. A Comprehensive Review of Deep Learning Applications with Multi-Omics Data in Cancer Research.

    Article Title: Recent advances in machine learning for precision diagnosis and treatment of esophageal disorders.
    Article Snippet: However, despite the improved capabilities of integrating multi-omics data, ML remains limited by heterogeneity and interpretability, setting its use to that of a supplementary tool to compliment conventional methods.



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