These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

119 related articles for article (PubMed ID: 38776197)

  • 21. GREMI: an Explainable Multi-omics Integration Framework for Enhanced Disease Prediction and Module Identification.
    Liang H; Luo H; Sang Z; Jia M; Jiang X; Wang Z; Cong S; Yao X
    IEEE J Biomed Health Inform; 2024 Aug; PP():. PubMed ID: 39110558
    [TBL] [Abstract][Full Text] [Related]  

  • 22. 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]  

  • 23. 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]  

  • 24. Hi-GeoMVP: a hierarchical geometry-enhanced deep learning model for drug response prediction.
    Chen Y; Zhang L
    Bioinformatics; 2024 Mar; 40(4):. PubMed ID: 38614131
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Cooperative dual medical ontology representation learning for clinical assisted decision-making.
    Xu M; Zhu Z; Li Y; Zheng S; Li L; Wu H; Zhao Y
    Comput Biol Med; 2023 Sep; 163():107138. PubMed ID: 37329613
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A cross-level information transmission network for hierarchical omics data integration and phenotype prediction from a new genotype.
    He D; Xie L
    Bioinformatics; 2021 Dec; 38(1):204-210. PubMed ID: 34390577
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Multi-agent Feature Selection for Integrative Multi-omics Analysis.
    Tabakhi S; Lu H
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():1638-1642. PubMed ID: 36086594
    [TBL] [Abstract][Full Text] [Related]  

  • 29. SSD-KD: A self-supervised diverse knowledge distillation method for lightweight skin lesion classification using dermoscopic images.
    Wang Y; Wang Y; Cai J; Lee TK; Miao C; Wang ZJ
    Med Image Anal; 2023 Feb; 84():102693. PubMed ID: 36462373
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. G-K BertDTA: A graph representation learning and semantic embedding-based framework for drug-target affinity prediction.
    Qiu X; Wang H; Tan X; Fang Z
    Comput Biol Med; 2024 May; 173():108376. PubMed ID: 38552281
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Prior knowledge facilitates low homologous protein secondary structure prediction with DSM distillation.
    Wang Q; Wei J; Zhou Y; Lin M; Ren R; Wang S; Cui S; Li Z
    Bioinformatics; 2022 Jul; 38(14):3574-3581. PubMed ID: 35652719
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Clinical drug response prediction from preclinical cancer cell lines by logistic matrix factorization approach.
    Emdadi A; Eslahchi C
    J Bioinform Comput Biol; 2022 Apr; 20(2):2150035. PubMed ID: 34923927
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. An integrated Bayesian framework for multi-omics prediction and classification.
    Mallick H; Porwal A; Saha S; Basak P; Svetnik V; Paul E
    Stat Med; 2024 Feb; 43(5):983-1002. PubMed ID: 38146838
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. A Similarity Regression Fusion Model for Integrating Multi-Omics Data to Identify Cancer Subtypes.
    Guo Y; Zheng J; Shang X; Li Z
    Genes (Basel); 2018 Jun; 9(7):. PubMed ID: 29933539
    [TBL] [Abstract][Full Text] [Related]  

  • 38. MultiGATAE: A Novel Cancer Subtype Identification Method Based on Multi-Omics and Attention Mechanism.
    Zhang G; Peng Z; Yan C; Wang J; Luo J; Luo H
    Front Genet; 2022; 13():855629. PubMed ID: 35391797
    [TBL] [Abstract][Full Text] [Related]  

  • 39. CustOmics: A versatile deep-learning based strategy for multi-omics integration.
    Benkirane H; Pradat Y; Michiels S; Cournède PH
    PLoS Comput Biol; 2023 Mar; 19(3):e1010921. PubMed ID: 36877736
    [TBL] [Abstract][Full Text] [Related]  

  • 40. scMIC: A Deep Multi-Level Information Fusion Framework for Clustering Single-Cell Multi-Omics Data.
    Zhan Y; Liu J; Ou-Yang L
    IEEE J Biomed Health Inform; 2023 Dec; 27(12):6121-6132. PubMed ID: 37725723
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.