BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

357 related articles for article (PubMed ID: 28859695)

  • 1. Learning Microbial Community Structures with Supervised and Unsupervised Non-negative Matrix Factorization.
    Cai Y; Gu H; Kenney T
    Microbiome; 2017 Aug; 5(1):110. PubMed ID: 28859695
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Alignment-free supervised classification of metagenomes by recursive SVM.
    Cui H; Zhang X
    BMC Genomics; 2013 Sep; 14():641. PubMed ID: 24053649
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Rank selection for non-negative matrix factorization.
    Cai Y; Gu H; Kenney T
    Stat Med; 2023 Dec; 42(30):5676-5693. PubMed ID: 37848186
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Inferring Aggregated Functional Traits from Metagenomic Data Using Constrained Non-negative Matrix Factorization: Application to Fiber Degradation in the Human Gut Microbiota.
    Raguideau S; Plancade S; Pons N; Leclerc M; Laroche B
    PLoS Comput Biol; 2016 Dec; 12(12):e1005252. PubMed ID: 27984592
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Towards a unified medical microbiome ecology of the OMU for metagenomes and the OTU for microbes.
    Ma ZS
    BMC Bioinformatics; 2024 Mar; 25(1):137. PubMed ID: 38553666
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Supervised non-negative matrix factorization methods for MALDI imaging applications.
    Leuschner J; Schmidt M; Fernsel P; Lachmund D; Boskamp T; Maass P
    Bioinformatics; 2019 Jun; 35(11):1940-1947. PubMed ID: 30395171
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A comparative study of supervised and unsupervised machine learning algorithms applied to human microbiome.
    Kalluçi E; Preni B; Dhamo X; Noka E; Bardhi S; Macchia A; Bonetti G; Dhuli K; Donato K; Bertelli M; Zambrano LJM; Janaqi S
    Clin Ter; 2024; 175(3):98-116. PubMed ID: 38767067
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Functional biogeography of ocean microbes revealed through non-negative matrix factorization.
    Jiang X; Langille MG; Neches RY; Elliot M; Levin SA; Eisen JA; Weitz JS; Dushoff J
    PLoS One; 2012; 7(9):e43866. PubMed ID: 23049741
    [TBL] [Abstract][Full Text] [Related]  

  • 9. CAMISIM: simulating metagenomes and microbial communities.
    Fritz A; Hofmann P; Majda S; Dahms E; Dröge J; Fiedler J; Lesker TR; Belmann P; DeMaere MZ; Darling AE; Sczyrba A; Bremges A; McHardy AC
    Microbiome; 2019 Feb; 7(1):17. PubMed ID: 30736849
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep Unfolding for Non-Negative Matrix Factorization with Application to Mutational Signature Analysis.
    Nasser R; Eldar YC; Sharan R
    J Comput Biol; 2022 Jan; 29(1):45-55. PubMed ID: 34986029
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Microbial community pattern detection in human body habitats via ensemble clustering framework.
    Yang P; Su X; Ou-Yang L; Chua HN; Li XL; Ning K
    BMC Syst Biol; 2014; 8 Suppl 4(Suppl 4):S7. PubMed ID: 25521415
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Gene-based microbiome representation enhances host phenotype classification.
    Deschênes T; Tohoundjona FWE; Plante PL; Di Marzo V; Raymond F
    mSystems; 2023 Aug; 8(4):e0053123. PubMed ID: 37404032
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A non-negative matrix factorization framework for identifying modular patterns in metagenomic profile data.
    Jiang X; Weitz JS; Dushoff J
    J Math Biol; 2012 Mar; 64(4):697-711. PubMed ID: 21630089
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Four functional profiles for fibre and mucin metabolism in the human gut microbiome.
    Labarthe S; Plancade S; Raguideau S; Plaza Oñate F; Le Chatelier E; Leclerc M; Laroche B
    Microbiome; 2023 Oct; 11(1):231. PubMed ID: 37858269
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Metagenome-scale community metabolic modelling for understanding the role of gut microbiota in human health.
    Beura S; Kundu P; Das AK; Ghosh A
    Comput Biol Med; 2022 Oct; 149():105997. PubMed ID: 36055158
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Electroencephalogram classification in motor-imagery brain-computer interface applications based on double-constraint nonnegative matrix factorization.
    Su J; Yang Z; Yan W; Sun W
    Physiol Meas; 2020 Aug; 41(7):075007. PubMed ID: 32590360
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DectICO: an alignment-free supervised metagenomic classification method based on feature extraction and dynamic selection.
    Ding X; Cheng F; Cao C; Sun X
    BMC Bioinformatics; 2015 Oct; 16():323. PubMed ID: 26446672
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Assessment of k-mer spectrum applicability for metagenomic dissimilarity analysis.
    Dubinkina VB; Ischenko DS; Ulyantsev VI; Tyakht AV; Alexeev DG
    BMC Bioinformatics; 2016 Jan; 17():38. PubMed ID: 26774270
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Hierarchical non-negative matrix factorization using clinical information for microbial communities.
    Abe K; Hirayama M; Ohno K; Shimamura T
    BMC Genomics; 2021 Feb; 22(1):104. PubMed ID: 33541264
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk.
    Chao G; Mao C; Wang F; Zhao Y; Luo Y
    Proceedings (IEEE Int Conf Bioinformatics Biomed); 2018 Dec; 2018():1189-1194. PubMed ID: 31360595
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.