279 related articles for article (PubMed ID: 37686146)
1. 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]
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. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. scGGAN: single-cell RNA-seq imputation by graph-based generative adversarial network.
Huang Z; Wang J; Lu X; Mohd Zain A; Yu G
Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36733262
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. 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]
15. GRNUlar: A Deep Learning Framework for Recovering Single-Cell Gene Regulatory Networks.
Shrivastava H; Zhang X; Song L; Aluru S
J Comput Biol; 2022 Jan; 29(1):27-44. PubMed ID: 35050715
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Deep learning of gene relationships from single cell time-course expression data.
Yuan Y; Bar-Joseph Z
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33876191
[TBL] [Abstract][Full Text] [Related]
18. Detecting Fear-Memory-Related Genes from Neuronal scRNA-seq Data by Diverse Distributions and Bhattacharyya Distance.
Zhang S; Xie L; Cui Y; Carone BR; Chen Y
Biomolecules; 2022 Aug; 12(8):. PubMed ID: 36009024
[TBL] [Abstract][Full Text] [Related]
19. Inference of cell type-specific gene regulatory networks on cell lineages from single cell omic datasets.
Zhang S; Pyne S; Pietrzak S; Halberg S; McCalla SG; Siahpirani AF; Sridharan R; Roy S
Nat Commun; 2023 May; 14(1):3064. PubMed ID: 37244909
[TBL] [Abstract][Full Text] [Related]
20. scGCL: an imputation method for scRNA-seq data based on graph contrastive learning.
Xiong Z; Luo J; Shi W; Liu Y; Xu Z; Wang B
Bioinformatics; 2023 Mar; 39(3):. PubMed ID: 36825817
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]