BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

173 related articles for article (PubMed ID: 35445698)

  • 1. Tightly integrated multiomics-based deep tensor survival model for time-to-event prediction.
    Zhang JZ; Xu W; Hu P
    Bioinformatics; 2022 Jun; 38(12):3259-3266. PubMed ID: 35445698
    [TBL] [Abstract][Full Text] [Related]  

  • 2. FGCNSurv: dually fused graph convolutional network for multi-omics survival prediction.
    Wen G; Li L
    Bioinformatics; 2023 Aug; 39(8):. PubMed ID: 37522887
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A denoised multi-omics integration framework for cancer subtype classification and survival prediction.
    Pang J; Liang B; Ding R; Yan Q; Chen R; Xu J
    Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37594302
    [TBL] [Abstract][Full Text] [Related]  

  • 4. moBRCA-net: a breast cancer subtype classification framework based on multi-omics attention neural networks.
    Choi JM; Chae H
    BMC Bioinformatics; 2023 Apr; 24(1):169. PubMed ID: 37101124
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-omics data integration by generative adversarial network.
    Ahmed KT; Sun J; Cheng S; Yong J; Zhang W
    Bioinformatics; 2021 Dec; 38(1):179-186. PubMed ID: 34415323
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.
    Kim D; Li R; Dudek SM; Ritchie MD
    J Biomed Inform; 2015 Aug; 56():220-8. PubMed ID: 26048077
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Integrating multi-omics data by learning modality invariant representations for improved prediction of overall survival of cancer.
    Tong L; Wu H; Wang MD
    Methods; 2021 May; 189():74-85. PubMed ID: 32763377
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Pancancer survival prediction using a deep learning architecture with multimodal representation and integration.
    Fan Z; Jiang Z; Liang H; Han C
    Bioinform Adv; 2023; 3(1):vbad006. PubMed ID: 36845202
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep Subspace Mutual Learning for cancer subtypes prediction.
    Yang B; Xin TT; Pang SM; Wang M; Wang YJ
    Bioinformatics; 2021 Nov; 37(21):3715-3722. PubMed ID: 34478501
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep structure integrative representation of multi-omics data for cancer subtyping.
    Yang B; Yang Y; Su X
    Bioinformatics; 2022 Jun; 38(13):3337-3342. PubMed ID: 35639657
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A fair experimental comparison of neural network architectures for latent representations of multi-omics for drug response prediction.
    Hauptmann T; Kramer S
    BMC Bioinformatics; 2023 Feb; 24(1):45. PubMed ID: 36788531
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classifying Breast Cancer Subtypes Using Deep Neural Networks Based on Multi-Omics Data.
    Lin Y; Zhang W; Cao H; Li G; Du W
    Genes (Basel); 2020 Aug; 11(8):. PubMed ID: 32759821
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting drug response of tumors from integrated genomic profiles by deep neural networks.
    Chiu YC; Chen HH; Zhang T; Zhang S; Gorthi A; Wang LJ; Huang Y; Chen Y
    BMC Med Genomics; 2019 Jan; 12(Suppl 1):18. PubMed ID: 30704458
    [TBL] [Abstract][Full Text] [Related]  

  • 14. GPDBN: deep bilinear network integrating both genomic data and pathological images for breast cancer prognosis prediction.
    Wang Z; Li R; Wang M; Li A
    Bioinformatics; 2021 Sep; 37(18):2963-2970. PubMed ID: 33734318
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MOLI: multi-omics late integration with deep neural networks for drug response prediction.
    Sharifi-Noghabi H; Zolotareva O; Collins CC; Ester M
    Bioinformatics; 2019 Jul; 35(14):i501-i509. PubMed ID: 31510700
    [TBL] [Abstract][Full Text] [Related]  

  • 16. XGBLC: an improved survival prediction model based on XGBoost.
    Ma B; Yan G; Chai B; Hou X
    Bioinformatics; 2022 Jan; 38(2):410-418. PubMed ID: 34586380
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Subtype-DCC: decoupled contrastive clustering method for cancer subtype identification based on multi-omics data.
    Zhao J; Zhao B; Song X; Lyu C; Chen W; Xiong Y; Wei DQ
    Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36702755
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancer.
    Malik V; Kalakoti Y; Sundar D
    BMC Genomics; 2021 Mar; 22(1):214. PubMed ID: 33761889
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Gene-centric multi-omics integration with convolutional encoders for cancer drug response prediction.
    Lee M; Kim PJ; Joe H; Kim HG
    Comput Biol Med; 2022 Dec; 151(Pt A):106192. PubMed ID: 36327883
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Interpretable meta-learning of multi-omics data for survival analysis and pathway enrichment.
    Cho HJ; Shu M; Bekiranov S; Zang C; Zhang A
    Bioinformatics; 2023 Apr; 39(4):. PubMed ID: 36864611
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.