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 *

184 related articles for article (PubMed ID: 35659722)

  • 21. Heterogeneous Hypergraph Variational Autoencoder for Link Prediction.
    Fan H; Zhang F; Wei Y; Li Z; Zou C; Gao Y; Dai Q
    IEEE Trans Pattern Anal Mach Intell; 2022 Aug; 44(8):4125-4138. PubMed ID: 33587699
    [TBL] [Abstract][Full Text] [Related]  

  • 22. MAVGAE: a multimodal framework for predicting asymmetric drug-drug interactions based on variational graph autoencoder.
    Deng Z; Xu J; Feng Y; Dong L; Zhang Y
    Comput Methods Biomech Biomed Engin; 2024 Feb; ():1-13. PubMed ID: 38314513
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Deep Learning and Infrared Spectroscopy: Representation Learning with a β-Variational Autoencoder.
    Grossutti M; D'Amico J; Quintal J; MacFarlane H; Quirk A; Dutcher JR
    J Phys Chem Lett; 2022 Jun; 13(25):5787-5793. PubMed ID: 35726872
    [TBL] [Abstract][Full Text] [Related]  

  • 24. MGCVAE: Multi-Objective Inverse Design via Molecular Graph Conditional Variational Autoencoder.
    Lee M; Min K
    J Chem Inf Model; 2022 Jun; 62(12):2943-2950. PubMed ID: 35666276
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Niche-DE: niche-differential gene expression analysis in spatial transcriptomics data identifies context-dependent cell-cell interactions.
    Mason K; Sathe A; Hess PR; Rong J; Wu CY; Furth E; Susztak K; Levinsohn J; Ji HP; Zhang N
    Genome Biol; 2024 Jan; 25(1):14. PubMed ID: 38217002
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Graph-based prediction of Protein-protein interactions with attributed signed graph embedding.
    Yang F; Fan K; Song D; Lin H
    BMC Bioinformatics; 2020 Jul; 21(1):323. PubMed ID: 32693790
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identifying multicellular spatiotemporal organization of cells with SpaceFlow.
    Ren H; Walker BL; Cang Z; Nie Q
    Nat Commun; 2022 Jul; 13(1):4076. PubMed ID: 35835774
    [TBL] [Abstract][Full Text] [Related]  

  • 28. The Optimally Designed Variational Autoencoder Networks for Clustering and Recovery of Incomplete Multimedia Data.
    Yu X; Li H; Zhang Z; Gan C
    Sensors (Basel); 2019 Feb; 19(4):. PubMed ID: 30781499
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data.
    Zhao M; He W; Tang J; Zou Q; Guo F
    Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35062026
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A new method to predict anomaly in brain network based on graph deep learning.
    Mirakhorli J; Amindavar H; Mirakhorli M
    Rev Neurosci; 2020 Aug; 31(6):681-689. PubMed ID: 32678803
    [TBL] [Abstract][Full Text] [Related]  

  • 31. New avenues for systematically inferring cell-cell communication: through single-cell transcriptomics data.
    Shao X; Lu X; Liao J; Chen H; Fan X
    Protein Cell; 2020 Dec; 11(12):866-880. PubMed ID: 32435978
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A Generative Model for Generic Light Field Reconstruction.
    Chandramouli P; Gandikota KV; Goerlitz A; Kolb A; Moeller M
    IEEE Trans Pattern Anal Mach Intell; 2022 Apr; 44(4):1712-1724. PubMed ID: 33226937
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A unified computational framework for single-cell data integration with optimal transport.
    Cao K; Gong Q; Hong Y; Wan L
    Nat Commun; 2022 Dec; 13(1):7419. PubMed ID: 36456571
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Unsupervised generative and graph representation learning for modelling cell differentiation.
    Bica I; Andrés-Terré H; Cvejic A; Liò P
    Sci Rep; 2020 Jun; 10(1):9790. PubMed ID: 32555334
    [TBL] [Abstract][Full Text] [Related]  

  • 35. CGCom: a framework for inferring Cell-cell Communication based on Graph Neural Network.
    Wang H; Zhang C; Hong SH; Maye P; Rowe D; Shin DG
    bioRxiv; 2023 Nov; ():. PubMed ID: 38014057
    [TBL] [Abstract][Full Text] [Related]  

  • 36. MRI super-resolution reconstruction for MRI-guided adaptive radiotherapy using cascaded deep learning: In the presence of limited training data and unknown translation model.
    Chun J; Zhang H; Gach HM; Olberg S; Mazur T; Green O; Kim T; Kim H; Kim JS; Mutic S; Park JC
    Med Phys; 2019 Sep; 46(9):4148-4164. PubMed ID: 31309585
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Network-principled deep generative models for designing drug combinations as graph sets.
    Karimi M; Hasanzadeh A; Shen Y
    Bioinformatics; 2020 Jul; 36(Suppl_1):i445-i454. PubMed ID: 32657357
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A glance at quality score: implication for de novo transcriptome reconstruction of Illumina reads.
    Mbandi SK; Hesse U; Rees DJ; Christoffels A
    Front Genet; 2014; 5():17. PubMed ID: 24575122
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Novel deep learning-based transcriptome data analysis for drug-drug interaction prediction with an application in diabetes.
    Luo Q; Mo S; Xue Y; Zhang X; Gu Y; Wu L; Zhang J; Sun L; Liu M; Hu Y
    BMC Bioinformatics; 2021 Jun; 22(1):318. PubMed ID: 34116627
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Nonlinear quality-related fault detection using combined deep variational information bottleneck and variational autoencoder.
    Tang P; Peng K; Dong J
    ISA Trans; 2021 Aug; 114():444-454. PubMed ID: 33483094
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.