BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

355 related articles for article (PubMed ID: 34791014)

  • 1. A roadmap for multi-omics data integration using deep learning.
    Kang M; Ko E; Mersha TB
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34791014
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A comprehensive review of machine learning techniques for multi-omics data integration: challenges and applications in precision oncology.
    Acharya D; Mukhopadhyay A
    Brief Funct Genomics; 2024 Apr; ():. PubMed ID: 38600757
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-omics integration method based on attention deep learning network for biomedical data classification.
    Gong P; Cheng L; Zhang Z; Meng A; Li E; Chen J; Zhang L
    Comput Methods Programs Biomed; 2023 Apr; 231():107377. PubMed ID: 36739624
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep learning applications in single-cell genomics and transcriptomics data analysis.
    Erfanian N; Heydari AA; Feriz AM; Iañez P; Derakhshani A; Ghasemigol M; Farahpour M; Razavi SM; Nasseri S; Safarpour H; Sahebkar A
    Biomed Pharmacother; 2023 Sep; 165():115077. PubMed ID: 37393865
    [TBL] [Abstract][Full Text] [Related]  

  • 5. AVBAE-MODFR: A novel deep learning framework of embedding and feature selection on multi-omics data for pan-cancer classification.
    Li M; Guo H; Wang K; Kang C; Yin Y; Zhang H
    Comput Biol Med; 2024 Jul; 177():108614. PubMed ID: 38796884
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE).
    Ma T; Zhang A
    BMC Genomics; 2019 Dec; 20(Suppl 11):944. PubMed ID: 31856727
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis.
    Tong L; Mitchel J; Chatlin K; Wang MD
    BMC Med Inform Decis Mak; 2020 Sep; 20(1):225. PubMed ID: 32933515
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Harnessing Deep Learning for Omics in an Era of COVID-19.
    Jahanyar B; Tabatabaee H; Rowhanimanesh A
    OMICS; 2023 Apr; 27(4):141-152. PubMed ID: 37043378
    [TBL] [Abstract][Full Text] [Related]  

  • 9. DeepKEGG: a multi-omics data integration framework with biological insights for cancer recurrence prediction and biomarker discovery.
    Lan W; Liao H; Chen Q; Zhu L; Pan Y; Chen YP
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38678587
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A benchmark study of deep learning-based multi-omics data fusion methods for cancer.
    Leng D; Zheng L; Wen Y; Zhang Y; Wu L; Wang J; Wang M; Zhang Z; He S; Bo X
    Genome Biol; 2022 Aug; 23(1):171. PubMed ID: 35945544
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data.
    Xu J; Wu P; Chen Y; Meng Q; Dawood H; Dawood H
    BMC Bioinformatics; 2019 Oct; 20(1):527. PubMed ID: 31660856
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Integration strategies of multi-omics data for machine learning analysis.
    Picard M; Scott-Boyer MP; Bodein A; Périn O; Droit A
    Comput Struct Biotechnol J; 2021; 19():3735-3746. PubMed ID: 34285775
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Precision medicine with multi-omics strategies, deep phenotyping, and predictive analysis.
    Ahmed Z
    Prog Mol Biol Transl Sci; 2022; 190(1):101-125. PubMed ID: 36007996
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparative Evaluation of Machine Learning Models for Subtyping Triple-Negative Breast Cancer: A Deep Learning-Based Multi-Omics Data Integration Approach.
    Yang S; Wang Z; Wang C; Li C; Wang B
    J Cancer; 2024; 15(12):3943-3957. PubMed ID: 38911381
    [No Abstract]   [Full Text] [Related]  

  • 15. Deep Learning Methods for Omics Data Imputation.
    Huang L; Song M; Shen H; Hong H; Gong P; Deng HW; Zhang C
    Biology (Basel); 2023 Oct; 12(10):. PubMed ID: 37887023
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Estimating gene expression from DNA methylation and copy number variation: A deep learning regression model for multi-omics integration.
    Seal DB; Das V; Goswami S; De RK
    Genomics; 2020 Jul; 112(4):2833-2841. PubMed ID: 32234433
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Spatial transformation of multi-omics data unlocks novel insights into cancer biology.
    Sokač M; Kjær A; Dyrskjøt L; Haibe-Kains B; Jwl Aerts H; Birkbak NJ
    Elife; 2023 Sep; 12():. PubMed ID: 37669321
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multimodal deep learning approaches for single-cell multi-omics data integration.
    Athaya T; Ripan RC; Li X; Hu H
    Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37651607
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A deep learning approach based on multi-omics data integration to construct a risk stratification prediction model for skin cutaneous melanoma.
    Li W; Huang Q; Peng Y; Pan S; Hu M; Wang P; He Y
    J Cancer Res Clin Oncol; 2023 Nov; 149(17):15923-15938. PubMed ID: 37673824
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 18.