BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

220 related articles for article (PubMed ID: 38261340)

  • 1. GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference.
    Li S; Liu Y; Shen LC; Yan H; Song J; Yu DJ
    Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38261340
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks.
    Mao G; Pang Z; Zuo K; Wang Q; Pei X; Chen X; Liu J
    Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37985457
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Graph attention network for link prediction of gene regulations from single-cell RNA-sequencing data.
    Chen G; Liu ZP
    Bioinformatics; 2022 Sep; 38(19):4522-4529. PubMed ID: 35961023
    [TBL] [Abstract][Full Text] [Related]  

  • 4. scTIGER: A Deep-Learning Method for Inferring Gene Regulatory Networks from Case versus Control scRNA-seq Datasets.
    Dautle M; Zhang S; Chen Y
    Int J Mol Sci; 2023 Aug; 24(17):. PubMed ID: 37686146
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Inferring Gene Regulatory Networks From Single-Cell Transcriptomic Data Using Bidirectional RNN.
    Gan Y; Hu X; Zou G; Yan C; Xu G
    Front Oncol; 2022; 12():899825. PubMed ID: 35692809
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identifying strengths and weaknesses of methods for computational network inference from single-cell RNA-seq data.
    McCalla SG; Fotuhi Siahpirani A; Li J; Pyne S; Stone M; Periyasamy V; Shin J; Roy S
    G3 (Bethesda); 2023 Mar; 13(3):. PubMed ID: 36626328
    [TBL] [Abstract][Full Text] [Related]  

  • 7. MICRAT: a novel algorithm for inferring gene regulatory networks using time series gene expression data.
    Yang B; Xu Y; Maxwell A; Koh W; Gong P; Zhang C
    BMC Syst Biol; 2018 Dec; 12(Suppl 7):115. PubMed ID: 30547796
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Robust discovery of gene regulatory networks from single-cell gene expression data by Causal Inference Using Composition of Transactions.
    Shojaee A; Huang SC
    Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37897702
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep structural clustering for single-cell RNA-seq data jointly through autoencoder and graph neural network.
    Gan Y; Huang X; Zou G; Zhou S; Guan J
    Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35172334
    [TBL] [Abstract][Full Text] [Related]  

  • 10. STGRNS: an interpretable transformer-based method for inferring gene regulatory networks from single-cell transcriptomic data.
    Xu J; Zhang A; Liu F; Zhang X
    Bioinformatics; 2023 Apr; 39(4):. PubMed ID: 37004161
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A gene regulatory network inference model based on pseudo-siamese network.
    Wang Q; Guo M; Chen J; Duan R
    BMC Bioinformatics; 2023 Apr; 24(1):163. PubMed ID: 37085776
    [TBL] [Abstract][Full Text] [Related]  

  • 12. DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data.
    Chen J; Cheong C; Lan L; Zhou X; Liu J; Lyu A; Cheung WK; Zhang L
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34424948
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Inferring gene regulatory networks from single-cell gene expression data via deep multi-view contrastive learning.
    Lin Z; Ou-Yang L
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36585783
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Benchmarking imputation methods for network inference using a novel method of synthetic scRNA-seq data generation.
    Lasri A; Shahrezaei V; Sturrock M
    BMC Bioinformatics; 2022 Jun; 23(1):236. PubMed ID: 35715748
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Gene Regulatory Network Inference Using Convolutional Neural Networks from scRNA-seq Data.
    Mao G; Pang Z; Zuo K; Liu J
    J Comput Biol; 2023 May; 30(5):619-631. PubMed ID: 36877552
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networks.
    Wang J; Ma A; Ma Q; Xu D; Joshi T
    Comput Struct Biotechnol J; 2020; 18():3335-3343. PubMed ID: 33294129
    [TBL] [Abstract][Full Text] [Related]  

  • 18. PMF-GRN: a variational inference approach to single-cell gene regulatory network inference using probabilistic matrix factorization.
    Skok Gibbs C; Mahmood O; Bonneau R; Cho K
    Genome Biol; 2024 Apr; 25(1):88. PubMed ID: 38589899
    [TBL] [Abstract][Full Text] [Related]  

  • 19. MIGGRI: A multi-instance graph neural network model for inferring gene regulatory networks for Drosophila from spatial expression images.
    Huang Y; Yu G; Yang Y
    PLoS Comput Biol; 2023 Nov; 19(11):e1011623. PubMed ID: 37939200
    [TBL] [Abstract][Full Text] [Related]  

  • 20. CLARIFY: cell-cell interaction and gene regulatory network refinement from spatially resolved transcriptomics.
    Bafna M; Li H; Zhang X
    Bioinformatics; 2023 Jun; 39(39 Suppl 1):i484-i493. PubMed ID: 37387180
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.