BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

141 related articles for article (PubMed ID: 38626559)

  • 1. Exploring machine learning for untargeted metabolomics using molecular fingerprints.
    Sirocchi C; Biancucci F; Donati M; Bogliolo A; Magnani M; Menotta M; Montagna S
    Comput Methods Programs Biomed; 2024 Jun; 250():108163. PubMed ID: 38626559
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Fingerprinting Interactions between Proteins and Ligands for Facilitating Machine Learning in Drug Discovery.
    Li Z; Huang R; Xia M; Patterson TA; Hong H
    Biomolecules; 2024 Jan; 14(1):. PubMed ID: 38254672
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An integrated deep learning framework for the interpretation of untargeted metabolomics data.
    Tian L; Yu T
    Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37369636
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Good practices and recommendations for using and benchmarking computational metabolomics metabolite annotation tools.
    de Jonge NF; Mildau K; Meijer D; Louwen JJR; Bueschl C; Huber F; van der Hooft JJJ
    Metabolomics; 2022 Dec; 18(12):103. PubMed ID: 36469190
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Revealing disease-associated pathways by network integration of untargeted metabolomics.
    Pirhaji L; Milani P; Leidl M; Curran T; Avila-Pacheco J; Clish CB; White FM; Saghatelian A; Fraenkel E
    Nat Methods; 2016 Sep; 13(9):770-6. PubMed ID: 27479327
    [TBL] [Abstract][Full Text] [Related]  

  • 6. MetaClean: a machine learning-based classifier for reduced false positive peak detection in untargeted LC-MS metabolomics data.
    Chetnik K; Petrick L; Pandey G
    Metabolomics; 2020 Oct; 16(11):117. PubMed ID: 33085002
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Metabolomics and Machine Learning Identify Metabolic Differences and Potential Biomarkers for Frequent Versus Infrequent Gout Flares.
    Wang M; Li R; Qi H; Pang L; Cui L; Liu Z; Lu J; Wang R; Hu S; Liang N; Tao Y; Dalbeth N; Merriman TR; Terkeltaub R; Yin H; Li C
    Arthritis Rheumatol; 2023 Dec; 75(12):2252-2264. PubMed ID: 37390372
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Early metabolic markers identify potential targets for the prevention of type 2 diabetes.
    Peddinti G; Cobb J; Yengo L; Froguel P; Kravić J; Balkau B; Tuomi T; Aittokallio T; Groop L
    Diabetologia; 2017 Sep; 60(9):1740-1750. PubMed ID: 28597074
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Diagnostics of ovarian cancer via metabolite analysis and machine learning.
    Yao JZ; Tsigelny IF; Kesari S; Kouznetsova VL
    Integr Biol (Camb); 2023 Apr; 15():. PubMed ID: 37032481
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning of plasma metabolome identifies biomarker panels for metabolic syndrome: findings from the China Suboptimal Health Cohort.
    Wang H; Wang Y; Li X; Deng X; Kong Y; Wang W; Zhou Y
    Cardiovasc Diabetol; 2022 Dec; 21(1):288. PubMed ID: 36564831
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of biomarkers for risk assessment of arsenicosis based on untargeted metabolomics and machine learning algorithms.
    Zhang J; Ma L; Li B; Chen X; Wang D; Zhang A
    Sci Total Environ; 2023 Apr; 870():161861. PubMed ID: 36716877
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Combined network analysis and machine learning allows the prediction of metabolic pathways from tomato metabolomics data.
    Toubiana D; Puzis R; Wen L; Sikron N; Kurmanbayeva A; Soltabayeva A; Del Mar Rubio Wilhelmi M; Sade N; Fait A; Sagi M; Blumwald E; Elovici Y
    Commun Biol; 2019; 2():214. PubMed ID: 31240252
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Serum untargeted metabolomics reveal metabolic alteration of non-small cell lung cancer and refine disease detection.
    Li J; Liu K; Ji Z; Wang Y; Yin T; Long T; Shen Y; Cheng L
    Cancer Sci; 2023 Feb; 114(2):680-689. PubMed ID: 36310111
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Metabolite identification through multiple kernel learning on fragmentation trees.
    Shen H; Dührkop K; Böcker S; Rousu J
    Bioinformatics; 2014 Jun; 30(12):i157-64. PubMed ID: 24931979
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A novel untargeted metabolomics correlation-based network analysis incorporating human metabolic reconstructions.
    Kotze HL; Armitage EG; Sharkey KJ; Allwood JW; Dunn WB; Williams KJ; Goodacre R
    BMC Syst Biol; 2013 Oct; 7():107. PubMed ID: 24153255
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MetaboShiny: interactive analysis and metabolite annotation of mass spectrometry-based metabolomics data.
    Wolthuis JC; Magnusdottir S; Pras-Raves M; Moshiri M; Jans JJM; Burgering B; van Mil S; de Ridder J
    Metabolomics; 2020 Sep; 16(9):99. PubMed ID: 32915321
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Advances in decomposing complex metabolite mixtures using substructure- and network-based computational metabolomics approaches.
    Beniddir MA; Kang KB; Genta-Jouve G; Huber F; Rogers S; van der Hooft JJJ
    Nat Prod Rep; 2021 Nov; 38(11):1967-1993. PubMed ID: 34821250
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SMILE: systems metabolomics using interpretable learning and evolution.
    Sha C; Cuperlovic-Culf M; Hu T
    BMC Bioinformatics; 2021 May; 22(1):284. PubMed ID: 34049495
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Recent advances in data- and knowledge-driven approaches to explore primary microbial metabolism.
    Bartmanski BJ; Rocha M; Zimmermann-Kogadeeva M
    Curr Opin Chem Biol; 2023 Aug; 75():102324. PubMed ID: 37207402
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 8.