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 *

198 related articles for article (PubMed ID: 26641091)

  • 1. Semi-Supervised Multi-View Learning for Gene Network Reconstruction.
    Ceci M; Pio G; Kuzmanovski V; Džeroski S
    PLoS One; 2015; 10(12):e0144031. PubMed ID: 26641091
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Supervised, semi-supervised and unsupervised inference of gene regulatory networks.
    Maetschke SR; Madhamshettiwar PB; Davis MJ; Ragan MA
    Brief Bioinform; 2014 Mar; 15(2):195-211. PubMed ID: 23698722
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Biological Network Inference and analysis using SEBINI and CABIN.
    Taylor R; Singhal M
    Methods Mol Biol; 2009; 541():551-76. PubMed ID: 19381531
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Semi-supervised prediction of gene regulatory networks using machine learning algorithms.
    Patel N; Wang JT
    J Biosci; 2015 Oct; 40(4):731-40. PubMed ID: 26564975
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Wisdom of crowds for robust gene network inference.
    Marbach D; Costello JC; Küffner R; Vega NM; Prill RJ; Camacho DM; Allison KR; ; Kellis M; Collins JJ; Stolovitzky G
    Nat Methods; 2012 Jul; 9(8):796-804. PubMed ID: 22796662
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Implications of functional similarity for gene regulatory interactions.
    Glass K; Ott E; Losert W; Girvan M
    J R Soc Interface; 2012 Jul; 9(72):1625-36. PubMed ID: 22298814
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach.
    Kashima H; Yamanishi Y; Kato T; Sugiyama M; Tsuda K
    Bioinformatics; 2009 Nov; 25(22):2962-8. PubMed ID: 19689962
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Network inference with ensembles of bi-clustering trees.
    Pliakos K; Vens C
    BMC Bioinformatics; 2019 Oct; 20(1):525. PubMed ID: 31660848
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Transcriptional network inference from functional similarity and expression data: a global supervised approach.
    Ambroise J; Robert A; Macq B; Gala JL
    Stat Appl Genet Mol Biol; 2012 Jan; 11(1):Article 2. PubMed ID: 22499684
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An approach for reduction of false predictions in reverse engineering of gene regulatory networks.
    Khan A; Saha G; Pal RK
    J Theor Biol; 2018 May; 445():9-30. PubMed ID: 29462626
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Inference of gene regulatory networks with multi-objective cellular genetic algorithm.
    García-Nieto J; Nebro AJ; Aldana-Montes JF
    Comput Biol Chem; 2019 Jun; 80():409-418. PubMed ID: 31128452
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. A Novel Model Integration Network Inference Algorithm with Clustering and Hub Genes Finding.
    Li W; Zhang W; Zhang J
    Mol Inform; 2020 May; 39(5):e1900075. PubMed ID: 31990443
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CompareSVM: supervised, Support Vector Machine (SVM) inference of gene regularity networks.
    Gillani Z; Akash MS; Rahaman MD; Chen M
    BMC Bioinformatics; 2014 Nov; 15(1):395. PubMed ID: 25433465
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MKL-GRNI: A parallel multiple kernel learning approach for supervised inference of large-scale gene regulatory networks.
    Wani N; Raza K
    PeerJ Comput Sci; 2021; 7():e363. PubMed ID: 33817013
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Addressing false discoveries in network inference.
    Petri T; Altmann S; Geistlinger L; Zimmer R; Küffner R
    Bioinformatics; 2015 Sep; 31(17):2836-43. PubMed ID: 25910697
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A group LASSO-based method for robustly inferring gene regulatory networks from multiple time-course datasets.
    Liu LZ; Wu FX; Zhang WJ
    BMC Syst Biol; 2014; 8 Suppl 3(Suppl 3):S1. PubMed ID: 25350697
    [TBL] [Abstract][Full Text] [Related]  

  • 19. EnGRaiN: a supervised ensemble learning method for recovery of large-scale gene regulatory networks.
    Aluru M; Shrivastava H; Chockalingam SP; Shivakumar S; Aluru S
    Bioinformatics; 2022 Feb; 38(5):1312-1319. PubMed ID: 34888624
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Netter: re-ranking gene network inference predictions using structural network properties.
    Ruyssinck J; Demeester P; Dhaene T; Saeys Y
    BMC Bioinformatics; 2016 Feb; 17():76. PubMed ID: 26862054
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.