BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

220 related articles for article (PubMed ID: 36303726)

  • 1. Intracellular and Intercellular Gene Regulatory Network Inference From Time-Course Individual RNA-Seq.
    Kashima M; Shida Y; Yamashiro T; Hirata H; Kurosaka H
    Front Bioinform; 2021; 1():777299. PubMed ID: 36303726
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. COFFEE: Consensus Single Cell-Type Specific Inference for Gene Regulatory Networks.
    Lodi MK; Chernikov A; Ghosh P
    bioRxiv; 2024 Jan; ():. PubMed ID: 38260386
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Gene regulation inference from single-cell RNA-seq data with linear differential equations and velocity inference.
    Aubin-Frankowski PC; Vert JP
    Bioinformatics; 2020 Sep; 36(18):4774-4780. PubMed ID: 33026066
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Inferring gene regulatory networks from single-cell RNA-seq temporal snapshot data requires higher-order moments.
    Raharinirina NA; Peppert F; von Kleist M; Schütte C; Sunkara V
    Patterns (N Y); 2021 Sep; 2(9):100332. PubMed ID: 34553172
    [TBL] [Abstract][Full Text] [Related]  

  • 10. dynDeepDRIM: a dynamic deep learning model to infer direct regulatory interactions using time-course single-cell gene expression data.
    Xu Y; Chen J; Lyu A; Cheung WK; Zhang L
    Brief Bioinform; 2022 Nov; 23(6):. PubMed ID: 36168811
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. A review on gene regulatory network reconstruction algorithms based on single cell RNA sequencing.
    Kim H; Choi H; Lee D; Kim J
    Genes Genomics; 2024 Jan; 46(1):1-11. PubMed ID: 38032470
    [TBL] [Abstract][Full Text] [Related]  

  • 14. SCING: Inference of robust, interpretable gene regulatory networks from single cell and spatial transcriptomics.
    Littman R; Cheng M; Wang N; Peng C; Yang X
    iScience; 2023 Jul; 26(7):107124. PubMed ID: 37434694
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MetaSEM: Gene Regulatory Network Inference from Single-Cell RNA Data by Meta-Learning.
    Zhang Y; Wang M; Wang Z; Liu Y; Xiong S; Zou Q
    Int J Mol Sci; 2023 Jan; 24(3):. PubMed ID: 36768917
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Inference of Gene Regulatory Network from Single-Cell Transcriptomic Data Using pySCENIC.
    Kumar N; Mishra B; Athar M; Mukhtar S
    Methods Mol Biol; 2021; 2328():171-182. PubMed ID: 34251625
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Boosting single-cell gene regulatory network reconstruction via bulk-cell transcriptomic data.
    Shu H; Ding F; Zhou J; Xue Y; Zhao D; Zeng J; Ma J
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 36070863
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Inferring single-cell gene regulatory network by non-redundant mutual information.
    Zeng Y; He Y; Zheng R; Li M
    Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37715282
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Machine Learning Approach to Predict Gene Regulatory Networks in Seed Development in Arabidopsis.
    Ni Y; Aghamirzaie D; Elmarakeby H; Collakova E; Li S; Grene R; Heath LS
    Front Plant Sci; 2016; 7():1936. PubMed ID: 28066488
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.