BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

284 related articles for article (PubMed ID: 31823712)

  • 1. Vertical and horizontal integration of multi-omics data with miodin.
    Ulfenborg B
    BMC Bioinformatics; 2019 Dec; 20(1):649. PubMed ID: 31823712
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Web-based multi-omics integration using the Analyst software suite.
    Ewald JD; Zhou G; Lu Y; Kolic J; Ellis C; Johnson JD; Macdonald PE; Xia J
    Nat Protoc; 2024 May; 19(5):1467-1497. PubMed ID: 38355833
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A practical data processing workflow for multi-OMICS projects.
    Kohl M; Megger DA; Trippler M; Meckel H; Ahrens M; Bracht T; Weber F; Hoffmann AC; Baba HA; Sitek B; Schlaak JF; Meyer HE; Stephan C; Eisenacher M
    Biochim Biophys Acta; 2014 Jan; 1844(1 Pt A):52-62. PubMed ID: 23501674
    [TBL] [Abstract][Full Text] [Related]  

  • 4. hCoCena: horizontal integration and analysis of transcriptomics datasets.
    Oestreich M; Holsten L; Agrawal S; Dahm K; Koch P; Jin H; Becker M; Ulas T
    Bioinformatics; 2022 Oct; 38(20):4727-4734. PubMed ID: 36018233
    [TBL] [Abstract][Full Text] [Related]  

  • 5. OMD Curation Toolkit: a workflow for in-house curation of public omics datasets.
    Piquer-Esteban S; Arnau V; Diaz W; Moya A
    BMC Bioinformatics; 2024 May; 25(1):184. PubMed ID: 38724907
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integrative phenotyping framework (iPF): integrative clustering of multiple omics data identifies novel lung disease subphenotypes.
    Kim S; Herazo-Maya JD; Kang DD; Juan-Guardela BM; Tedrow J; Martinez FJ; Sciurba FC; Tseng GC; Kaminski N
    BMC Genomics; 2015 Nov; 16():924. PubMed ID: 26560100
    [TBL] [Abstract][Full Text] [Related]  

  • 7. ivTerm-An R package for interactive visualization of functional analysis results of meta-omics data.
    Dong X; Xue H; Wei C
    J Cell Biochem; 2021 Oct; 122(10):1428-1434. PubMed ID: 34132422
    [TBL] [Abstract][Full Text] [Related]  

  • 8. multiGSEA: a GSEA-based pathway enrichment analysis for multi-omics data.
    Canzler S; Hackermüller J
    BMC Bioinformatics; 2020 Dec; 21(1):561. PubMed ID: 33287694
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An overview of technologies for MS-based proteomics-centric multi-omics.
    Rajczewski AT; Jagtap PD; Griffin TJ
    Expert Rev Proteomics; 2022 Mar; 19(3):165-181. PubMed ID: 35466851
    [TBL] [Abstract][Full Text] [Related]  

  • 10. integRATE: a desirability-based data integration framework for the prioritization of candidate genes across heterogeneous omics and its application to preterm birth.
    Eidem HR; Steenwyk JL; Wisecaver JH; Capra JA; Abbot P; Rokas A
    BMC Med Genomics; 2018 Nov; 11(1):107. PubMed ID: 30453955
    [TBL] [Abstract][Full Text] [Related]  

  • 11. OmicsON - Integration of omics data with molecular networks and statistical procedures.
    Turek C; Wróbel S; Piwowar M
    PLoS One; 2020; 15(7):e0235398. PubMed ID: 32726348
    [TBL] [Abstract][Full Text] [Related]  

  • 12. OmicsARules: a R package for integration of multi-omics datasets via association rules mining.
    Chen D; Zhang F; Zhao Q; Xu J
    BMC Bioinformatics; 2019 Nov; 20(1):554. PubMed ID: 31703610
    [TBL] [Abstract][Full Text] [Related]  

  • 13. mixOmics: An R package for 'omics feature selection and multiple data integration.
    Rohart F; Gautier B; Singh A; Lê Cao KA
    PLoS Comput Biol; 2017 Nov; 13(11):e1005752. PubMed ID: 29099853
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrated enrichment analysis and pathway-centered visualization of metabolomics, proteomics, transcriptomics, and genomics data by using the InCroMAP software.
    Eichner J; Rosenbaum L; Wrzodek C; Häring HU; Zell A; Lehmann R
    J Chromatogr B Analyt Technol Biomed Life Sci; 2014 Sep; 966():77-82. PubMed ID: 24811976
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A multi-omics data simulator for complex disease studies and its application to evaluate multi-omics data analysis methods for disease classification.
    Chung RH; Kang CY
    Gigascience; 2019 May; 8(5):. PubMed ID: 31029063
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A comparative study of multi-omics integration tools for cancer driver gene identification and tumour subtyping.
    Sathyanarayanan A; Gupta R; Thompson EW; Nyholt DR; Bauer DC; Nagaraj SH
    Brief Bioinform; 2020 Dec; 21(6):1920-1936. PubMed ID: 31774481
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research.
    Vlachavas EI; Bohn J; Ückert F; Nürnberg S
    Int J Mol Sci; 2021 Mar; 22(6):. PubMed ID: 33802234
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multi-omics Data Integration in the Context of Plant Abiotic Stress Signaling.
    Duruflé H; Déjean S
    Methods Mol Biol; 2023; 2642():295-318. PubMed ID: 36944885
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Knowledge Base Commons (KBCommons) v1.1: a universal framework for multi-omics data integration and biological discoveries.
    Zeng S; Lyu Z; Narisetti SRK; Xu D; Joshi T
    BMC Genomics; 2019 Dec; 20(Suppl 11):947. PubMed ID: 31856718
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Application of omics- and multi-omics-based techniques for natural product target discovery.
    Zhang HW; Lv C; Zhang LJ; Guo X; Shen YW; Nagle DG; Zhou YD; Liu SH; Zhang WD; Luan X
    Biomed Pharmacother; 2021 Sep; 141():111833. PubMed ID: 34175822
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.