201 related articles for article (PubMed ID: 33939795)
21. CNNGRN: A Convolutional Neural Network-Based Method for Gene Regulatory Network Inference From Bulk Time-Series Expression Data.
Gao Z; Tang J; Xia J; Zheng CH; Wei PJ
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(5):2853-2861. PubMed ID: 37267145
[TBL] [Abstract][Full Text] [Related]
22. A Bi-Objective RNN Model to Reconstruct Gene Regulatory Network: A Modified Multi-Objective Simulated Annealing Approach.
Biswas S; Acharyya S
IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(6):2053-2059. PubMed ID: 29990170
[TBL] [Abstract][Full Text] [Related]
23. NSRGRN: a network structure refinement method for gene regulatory network inference.
Liu W; Yang Y; Lu X; Fu X; Sun R; Yang L; Peng L
Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37078865
[TBL] [Abstract][Full Text] [Related]
24. Extreme learning machines for reverse engineering of gene regulatory networks from expression time series.
Rubiolo M; Milone DH; Stegmayer G
Bioinformatics; 2018 Apr; 34(7):1253-1260. PubMed ID: 29182723
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Spatiotemporal Gene Expression Profiling and Network Inference: A Roadmap for Analysis, Visualization, and Key Gene Identification.
Spurney R; Schwartz M; Gobble M; Sozzani R; Van den Broeck L
Methods Mol Biol; 2021; 2328():47-65. PubMed ID: 34251619
[TBL] [Abstract][Full Text] [Related]
27. Multi-objective Simulated Annealing Variants to Infer Gene Regulatory Network: A Comparative Study.
Biswas S; Acharyya S
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2612-2623. PubMed ID: 32386161
[TBL] [Abstract][Full Text] [Related]
28. The Reconstruction and Analysis of Gene Regulatory Networks.
Zheng G; Huang T
Methods Mol Biol; 2018; 1754():137-154. PubMed ID: 29536441
[TBL] [Abstract][Full Text] [Related]
29. Inference of gene regulatory subnetworks from time course gene expression data.
Liang XJ; Xia Z; Zhang LW; Wu FX
BMC Bioinformatics; 2012 Jun; 13 Suppl 9(Suppl 9):S3. PubMed ID: 22901088
[TBL] [Abstract][Full Text] [Related]
30. D3GRN: a data driven dynamic network construction method to infer gene regulatory networks.
Chen X; Li M; Zheng R; Wu FX; Wang J
BMC Genomics; 2019 Dec; 20(Suppl 13):929. PubMed ID: 31881937
[TBL] [Abstract][Full Text] [Related]
31. An improved Bayesian network method for reconstructing gene regulatory network based on candidate auto selection.
Xing L; Guo M; Liu X; Wang C; Wang L; Zhang Y
BMC Genomics; 2017 Nov; 18(Suppl 9):844. PubMed ID: 29219084
[TBL] [Abstract][Full Text] [Related]
32. Large scale gene regulatory network inference with a multi-level strategy.
Wu J; Zhao X; Lin Z; Shao Z
Mol Biosyst; 2016 Feb; 12(2):588-97. PubMed ID: 26687446
[TBL] [Abstract][Full Text] [Related]
33. Inference of gene regulatory networks with multi-objective cellular genetic algorithm.
GarcĂa-Nieto J; Nebro AJ; Aldana-Montes JF
Comput Biol Chem; 2019 Jun; 80():409-418. PubMed ID: 31128452
[TBL] [Abstract][Full Text] [Related]
34. Supervised learning of gene-regulatory networks based on graph distance profiles of transcriptomics data.
Razaghi-Moghadam Z; Nikoloski Z
NPJ Syst Biol Appl; 2020 Jun; 6(1):21. PubMed ID: 32606380
[TBL] [Abstract][Full Text] [Related]
35. A Sparse Reconstruction Approach for Identifying Gene Regulatory Networks Using Steady-State Experiment Data.
Zhang W; Zhou T
PLoS One; 2015; 10(7):e0130979. PubMed ID: 26207991
[TBL] [Abstract][Full Text] [Related]
36. DeepFGRN: inference of gene regulatory network with regulation type based on directed graph embedding.
Gao Z; Su Y; Xia J; Cao RF; Ding Y; Zheng CH; Wei PJ
Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38581416
[TBL] [Abstract][Full Text] [Related]
37. PEPN-GRN: A Petri net-based approach for the inference of gene regulatory networks from noisy gene expression data.
Vatsa D; Agarwal S
PLoS One; 2021; 16(5):e0251666. PubMed ID: 33989333
[TBL] [Abstract][Full Text] [Related]
38. Reconstructing Genetic Regulatory Networks Using Two-Step Algorithms with the Differential Equation Models of Neural Networks.
Chen CK
Interdiscip Sci; 2018 Dec; 10(4):823-835. PubMed ID: 28748400
[TBL] [Abstract][Full Text] [Related]
39. A sparse and decomposed particle swarm optimization for inferring gene regulatory networks based on fuzzy cognitive maps.
Liu L; Liu J
J Bioinform Comput Biol; 2019 Aug; 17(4):1950023. PubMed ID: 31617458
[TBL] [Abstract][Full Text] [Related]
40. Computational prediction of gene regulatory networks in plant growth and development.
Haque S; Ahmad JS; Clark NM; Williams CM; Sozzani R
Curr Opin Plant Biol; 2019 Feb; 47():96-105. PubMed ID: 30445315
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]