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 *

190 related articles for article (PubMed ID: 24931976)

  • 1. Functional association networks as priors for gene regulatory network inference.
    Studham ME; Tjärnberg A; Nordling TE; Nelander S; Sonnhammer EL
    Bioinformatics; 2014 Jun; 30(12):i130-8. PubMed ID: 24931976
    [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. PEAK: Integrating Curated and Noisy Prior Knowledge in Gene Regulatory Network Inference.
    Altarawy D; Eid FE; Heath LS
    J Comput Biol; 2017 Sep; 24(9):863-873. PubMed ID: 28294630
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SIN-KNO: A method of gene regulatory network inference using single-cell transcription and gene knockout data.
    Wang H; Lian Y; Li C; Ma Y; Yan Z; Dong C
    J Bioinform Comput Biol; 2019 Dec; 17(6):1950035. PubMed ID: 32019417
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Inference of gene networks from gene expression time series using recurrent neural networks and sparse MAP estimation.
    Chen CK
    J Bioinform Comput Biol; 2018 Aug; 16(4):1850009. PubMed ID: 30051742
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Fusing gene expressions and transitive protein-protein interactions for inference of gene regulatory networks.
    Liu W; Rajapakse JC
    BMC Syst Biol; 2019 Apr; 13(Suppl 2):37. PubMed ID: 30953534
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Robust data-driven incorporation of prior knowledge into the inference of dynamic regulatory networks.
    Greenfield A; Hafemeister C; Bonneau R
    Bioinformatics; 2013 Apr; 29(8):1060-7. PubMed ID: 23525069
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Integrative random forest for gene regulatory network inference.
    Petralia F; Wang P; Yang J; Tu Z
    Bioinformatics; 2015 Jun; 31(12):i197-205. PubMed ID: 26072483
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Enhancing gene regulatory networks inference through hub-based data integration.
    Naseri A; Sharghi M; Hasheminejad SMH
    Comput Biol Chem; 2021 Dec; 95():107589. PubMed ID: 34673384
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Reverse engineering module networks by PSO-RNN hybrid modeling.
    Zhang Y; Xuan J; de los Reyes BG; Clarke R; Ressom HW
    BMC Genomics; 2009 Jul; 10 Suppl 1(Suppl 1):S15. PubMed ID: 19594874
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bagging statistical network inference from large-scale gene expression data.
    de Matos Simoes R; Emmert-Streib F
    PLoS One; 2012; 7(3):e33624. PubMed ID: 22479422
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of Gene Regulatory Networks Using Variational Bayesian Inference in the Presence of Missing Data.
    Liu Q; Li J; Dong M; Liu M; Chai Y
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):399-409. PubMed ID: 35061589
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Highly sensitive inference of time-delayed gene regulation by network deconvolution.
    Chen H; Mundra PA; Zhao LN; Lin F; Zheng J
    BMC Syst Biol; 2014; 8 Suppl 4(Suppl 4):S6. PubMed ID: 25521243
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A generalized framework for controlling FDR in gene regulatory network inference.
    Morgan D; Tjärnberg A; Nordling TEM; Sonnhammer ELL
    Bioinformatics; 2019 Mar; 35(6):1026-1032. PubMed ID: 30169550
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Bayesian Data Fusion of Gene Expression and Histone Modification Profiles for Inference of Gene Regulatory Network.
    Chen H; Maduranga DAK; Mundra PA; Zheng J
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(2):516-525. PubMed ID: 30207963
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Time lagged information theoretic approaches to the reverse engineering of gene regulatory networks.
    Chaitankar V; Ghosh P; Perkins EJ; Gong P; Zhang C
    BMC Bioinformatics; 2010 Oct; 11 Suppl 6(Suppl 6):S19. PubMed ID: 20946602
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CaSPIAN: a causal compressive sensing algorithm for discovering directed interactions in gene networks.
    Emad A; Milenkovic O
    PLoS One; 2014; 9(3):e90781. PubMed ID: 24622336
    [TBL] [Abstract][Full Text] [Related]  

  • 19. How difficult is inference of mammalian causal gene regulatory networks?
    Djordjevic D; Yang A; Zadoorian A; Rungrugeecharoen K; Ho JW
    PLoS One; 2014; 9(11):e111661. PubMed ID: 25369032
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Markov-blanket-based model for gene regulatory network inference.
    Ram R; Chetty M
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(2):353-67. PubMed ID: 21233520
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.