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 *

152 related articles for article (PubMed ID: 26283178)

  • 21. A hierarchical clustering and data fusion approach for disease subtype discovery.
    Pfeifer B; Schimek MG
    J Biomed Inform; 2021 Jan; 113():103636. PubMed ID: 33271342
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Data integration by fuzzy similarity-based hierarchical clustering.
    Ciaramella A; Nardone D; Staiano A
    BMC Bioinformatics; 2020 Aug; 21(Suppl 10):350. PubMed ID: 32838739
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A Random Walk Based Cluster Ensemble Approach for Data Integration and Cancer Subtyping.
    Yang C; Wang YT; Zheng CH
    Genes (Basel); 2019 Jan; 10(1):. PubMed ID: 30669418
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Paired single-cell multi-omics data integration with Mowgli.
    Huizing GJ; Deutschmann IM; Peyré G; Cantini L
    Nat Commun; 2023 Nov; 14(1):7711. PubMed ID: 38001063
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Integrated Cancer Subtyping using Heterogeneous Genome-Scale Molecular Datasets.
    Arslanturk S; Draghici S; Nguyen T
    Pac Symp Biocomput; 2020; 25():551-562. PubMed ID: 31797627
    [TBL] [Abstract][Full Text] [Related]  

  • 26. NCC-AUC: an AUC optimization method to identify multi-biomarker panel for cancer prognosis from genomic and clinical data.
    Zou M; Liu Z; Zhang XS; Wang Y
    Bioinformatics; 2015 Oct; 31(20):3330-8. PubMed ID: 26092859
    [TBL] [Abstract][Full Text] [Related]  

  • 27. MSProGene: integrative proteogenomics beyond six-frames and single nucleotide polymorphisms.
    Zickmann F; Renard BY
    Bioinformatics; 2015 Jun; 31(12):i106-15. PubMed ID: 26072472
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Consensus framework for exploring microarray data using multiple clustering methods.
    Laderas T; McWeeney S
    OMICS; 2007; 11(1):116-28. PubMed ID: 17411399
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Recursive integration of synergised graph representations of multi-omics data for cancer subtypes identification.
    Madhumita ; Dwivedi A; Paul S
    Sci Rep; 2022 Sep; 12(1):15629. PubMed ID: 36115864
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Incorporating covariates into integrated factor analysis of multi-view data.
    Li G; Jung S
    Biometrics; 2017 Dec; 73(4):1433-1442. PubMed ID: 28407218
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Mergeomics: a web server for identifying pathological pathways, networks, and key regulators via multidimensional data integration.
    Arneson D; Bhattacharya A; Shu L; Mäkinen VP; Yang X
    BMC Genomics; 2016 Sep; 17(1):722. PubMed ID: 27612452
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.
    Kim D; Li R; Dudek SM; Ritchie MD
    J Biomed Inform; 2015 Aug; 56():220-8. PubMed ID: 26048077
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Incomplete multi-view gene clustering with data regeneration using Shape Boltzmann Machine.
    Dutta P; Mishra P; Saha S
    Comput Biol Med; 2020 Oct; 125():103965. PubMed ID: 32931989
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Clustering of cancer data based on Stiefel manifold for multiple views.
    Tian J; Zhao J; Zheng C
    BMC Bioinformatics; 2021 May; 22(1):268. PubMed ID: 34034643
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Predicting clinical outcomes in neuroblastoma with genomic data integration.
    Baali I; Acar DAE; Aderinwale TW; HafezQorani S; Kazan H
    Biol Direct; 2018 Sep; 13(1):20. PubMed ID: 30621745
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Identification of expression patterns in the progression of disease stages by integration of transcriptomic data.
    Aibar S; Abaigar M; Campos-Laborie FJ; Sánchez-Santos JM; Hernandez-Rivas JM; De Las Rivas J
    BMC Bioinformatics; 2016 Nov; 17(Suppl 15):432. PubMed ID: 28185568
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Integrative subspace clustering by common and specific decomposition for applications on cancer subtype identification.
    Guo Y; Li H; Cai M; Li L
    BMC Med Genomics; 2019 Dec; 12(Suppl 9):191. PubMed ID: 31874642
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Multi-View Clustering for Integration of Gene Expression and Methylation Data With Tensor Decomposition and Self-Representation Learning.
    Gao X; Wang Y; Hou W; Liu Z; Ma X
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(3):2050-2063. PubMed ID: 37015414
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Multi-dimensional data integration algorithm based on random walk with restart.
    Wen Y; Song X; Yan B; Yang X; Wu L; Leng D; He S; Bo X
    BMC Bioinformatics; 2021 Feb; 22(1):97. PubMed ID: 33639858
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Simultaneous discovery of cancer subtypes and subtype features by molecular data integration.
    Le Van T; van Leeuwen M; Carolina Fierro A; De Maeyer D; Van den Eynden J; Verbeke L; De Raedt L; Marchal K; Nijssen S
    Bioinformatics; 2016 Sep; 32(17):i445-i454. PubMed ID: 27587661
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.