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Journal Abstract Search

348 related items for PubMed ID: 32019413

  • 21. Identification of key regulators of pancreatic cancer progression through multidimensional systems-level analysis.
    Rajamani D, Bhasin MK.
    Genome Med; 2016 May 03; 8(1):38. PubMed ID: 27137215
    [Abstract] [Full Text] [Related]

  • 22. PathME: pathway based multi-modal sparse autoencoders for clustering of patient-level multi-omics data.
    Lemsara A, Ouadfel S, Fröhlich H.
    BMC Bioinformatics; 2020 Apr 16; 21(1):146. PubMed ID: 32299344
    [Abstract] [Full Text] [Related]

  • 23. Comprehensive analysis of the whole coding and non-coding RNA transcriptome expression profiles and construction of the circRNA-lncRNA co-regulated ceRNA network in laryngeal squamous cell carcinoma.
    Zhao R, Li FQ, Tian LL, Shang DS, Guo Y, Zhang JR, Liu M.
    Funct Integr Genomics; 2019 Jan 16; 19(1):109-121. PubMed ID: 30128795
    [Abstract] [Full Text] [Related]

  • 24. Simultaneous Integration of Multi-omics Data Improves the Identification of Cancer Driver Modules.
    Silverbush D, Cristea S, Yanovich-Arad G, Geiger T, Beerenwinkel N, Sharan R.
    Cell Syst; 2019 May 22; 8(5):456-466.e5. PubMed ID: 31103572
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  • 26. Methylation Signature Genes Identification of the Lung Squamous Cell Carcinoma Occurrence and Recognition Research.
    Wang X, Shang W, Chang Y, Li X.
    J Comput Biol; 2018 Oct 22; 25(10):1161-1169. PubMed ID: 30059254
    [Abstract] [Full Text] [Related]

  • 27. Pan-cancer characterization of long non-coding RNA and DNA methylation mediated transcriptional dysregulation.
    Yang Z, Xu F, Wang H, Teschendorff AE, Xie F, He Y.
    EBioMedicine; 2021 Jun 22; 68():103399. PubMed ID: 34044218
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  • 29. COPS: A novel platform for multi-omic disease subtype discovery via robust multi-objective evaluation of clustering algorithms.
    Rintala TJ, Fortino V.
    PLoS Comput Biol; 2024 Aug 22; 20(8):e1012275. PubMed ID: 39102448
    [Abstract] [Full Text] [Related]

  • 30. Pathway Relevance Ranking for Tumor Samples through Network-Based Data Integration.
    Verbeke LP, Van den Eynden J, Fierro AC, Demeester P, Fostier J, Marchal K.
    PLoS One; 2015 Aug 22; 10(7):e0133503. PubMed ID: 26217958
    [Abstract] [Full Text] [Related]

  • 31. The Integrative Method Based on the Module-Network for Identifying Driver Genes in Cancer Subtypes.
    Lu X, Li X, Liu P, Qian X, Miao Q, Peng S.
    Molecules; 2018 Jan 24; 23(2):. PubMed ID: 29364829
    [Abstract] [Full Text] [Related]

  • 32. Network based stratification of major cancers by integrating somatic mutation and gene expression data.
    He Z, Zhang J, Yuan X, Liu Z, Liu B, Tuo S, Liu Y.
    PLoS One; 2017 Jan 24; 12(5):e0177662. PubMed ID: 28520777
    [Abstract] [Full Text] [Related]

  • 33. Systematical Identification of Breast Cancer-Related Circular RNA Modules for Deciphering circRNA Functions Based on the Non-Negative Matrix Factorization Algorithm.
    Wang S, Xia P, Zhang L, Yu L, Liu H, Meng Q, Liu S, Li J, Song Q, Wu J, Wang W, Yang L, Xiao Y, Xu C.
    Int J Mol Sci; 2019 Feb 20; 20(4):. PubMed ID: 30791568
    [Abstract] [Full Text] [Related]

  • 34. Generalized gene co-expression analysis via subspace clustering using low-rank representation.
    Wang T, Zhang J, Huang K.
    BMC Bioinformatics; 2019 May 01; 20(Suppl 7):196. PubMed ID: 31074376
    [Abstract] [Full Text] [Related]

  • 35. Constructing cancer patient-specific and group-specific gene networks with multi-omics data.
    Lee W, Huang DS, Han K.
    BMC Med Genomics; 2020 Aug 27; 13(Suppl 6):81. PubMed ID: 32854705
    [Abstract] [Full Text] [Related]

  • 36. A computational approach to identifying gene-microRNA modules in cancer.
    Jin D, Lee H.
    PLoS Comput Biol; 2015 Jan 27; 11(1):e1004042. PubMed ID: 25611546
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  • 39. 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 27; 56():220-8. PubMed ID: 26048077
    [Abstract] [Full Text] [Related]

  • 40. The benefits of smoking cessation on survival in cancer patients by integrative analysis of multi-omics data.
    Yang S, Liu T, Liang G.
    Mol Oncol; 2020 Sep 27; 14(9):2069-2080. PubMed ID: 32580248
    [Abstract] [Full Text] [Related]

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