BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

110 related articles for article (PubMed ID: 35387615)

  • 1. Explore potential disease related metabolites based on latent factor model.
    Wang Y; Juan L; Peng J; Wang T; Zang T; Wang Y
    BMC Genomics; 2022 Apr; 23(Suppl 1):269. PubMed ID: 35387615
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prioritizing candidate diseases-related metabolites based on literature and functional similarity.
    Wang Y; Juan L; Peng J; Zang T; Wang Y
    BMC Bioinformatics; 2019 Nov; 20(Suppl 18):574. PubMed ID: 31760947
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automated pathway and reaction prediction facilitates in silico identification of unknown metabolites in human cohort studies.
    Quell JD; Römisch-Margl W; Colombo M; Krumsiek J; Evans AM; Mohney R; Salomaa V; de Faire U; Groop LC; Agakov F; Looker HC; McKeigue P; Colhoun HM; Kastenmüller G
    J Chromatogr B Analyt Technol Biomed Life Sci; 2017 Dec; 1071():58-67. PubMed ID: 28479069
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MSD-MAP: A Network-Based Systems Biology Platform for Predicting Disease-Metabolite Links.
    Wathieu H; Issa NT; Mohandoss M; Byers SW; Dakshanamurthy S
    Comb Chem High Throughput Screen; 2017; 20(3):193-207. PubMed ID: 28024464
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identifying diseases-related metabolites using random walk.
    Hu Y; Zhao T; Zhang N; Zang T; Zhang J; Cheng L
    BMC Bioinformatics; 2018 Apr; 19(Suppl 5):116. PubMed ID: 29671398
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting metabolite-disease associations based on KATZ model.
    Lei X; Zhang C
    BioData Min; 2019; 12():19. PubMed ID: 31673292
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of disease-related metabolites using bi-random walks.
    Lei X; Tie J
    PLoS One; 2019; 14(11):e0225380. PubMed ID: 31730648
    [TBL] [Abstract][Full Text] [Related]  

  • 8. LncDisAP: a computation model for LncRNA-disease association prediction based on multiple biological datasets.
    Wang Y; Juan L; Peng J; Zang T; Wang Y
    BMC Bioinformatics; 2019 Dec; 20(Suppl 16):582. PubMed ID: 31787106
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hypergraph-based logistic matrix factorization for metabolite-disease interaction prediction.
    Ma Y; Ma Y
    Bioinformatics; 2022 Jan; 38(2):435-443. PubMed ID: 34499104
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Annotation of Specialized Metabolites from High-Throughput and High-Resolution Mass Spectrometry Metabolomics.
    Naake T; Gaquerel E; Fernie AR
    Methods Mol Biol; 2020; 2104():209-225. PubMed ID: 31953820
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Two-dimensional statistical recoupling for the identification of perturbed metabolic networks from NMR spectroscopy.
    Blaise BJ; Navratil V; Domange C; Shintu L; Dumas ME; Elena-Herrmann B; Emsley L; Toulhoat P
    J Proteome Res; 2010 Sep; 9(9):4513-20. PubMed ID: 20590164
    [TBL] [Abstract][Full Text] [Related]  

  • 12. MetSigDis: a manually curated resource for the metabolic signatures of diseases.
    Cheng L; Yang H; Zhao H; Pei X; Shi H; Sun J; Zhang Y; Wang Z; Zhou M
    Brief Bioinform; 2019 Jan; 20(1):203-209. PubMed ID: 28968812
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Overview of Tandem Mass Spectral and Metabolite Databases for Metabolite Identification in Metabolomics.
    Yi Z; Zhu ZJ
    Methods Mol Biol; 2020; 2104():139-148. PubMed ID: 31953816
    [TBL] [Abstract][Full Text] [Related]  

  • 14. DNRLCNN: A CNN Framework for Identifying MiRNA-Disease Associations Using Latent Feature Matrix Extraction with Positive Samples.
    Zhong J; Zhou W; Kang J; Fang Z; Xie M; Xiao Q; Peng W
    Interdiscip Sci; 2022 Jun; 14(2):607-622. PubMed ID: 35428965
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Rapidly improved determination of metabolites from biological data sets using the high-efficient TransOmics tool.
    Zhang A; Zhou X; Zhao H; Guan Y; Zou S; Yan GL; Ma CW; Liu Q; Wang X
    Mol Biosyst; 2014 Aug; 10(8):2160-5. PubMed ID: 24889752
    [TBL] [Abstract][Full Text] [Related]  

  • 16. DNRLMF-MDA:Predicting microRNA-Disease Associations Based on Similarities of microRNAs and Diseases.
    Yan C; Wang J; Ni P; Lan W; Wu FX; Pan Y
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(1):233-243. PubMed ID: 29990253
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Suggesting disease associations for overlooked metabolites using literature from metabolic neighbors.
    Delmas M; Filangi O; Duperier C; Paulhe N; Vinson F; Rodriguez-Mier P; Giacomoni F; Jourdan F; Frainay C
    Gigascience; 2022 Dec; 12():. PubMed ID: 37712592
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MCHMDA:Predicting Microbe-Disease Associations Based on Similarities and Low-Rank Matrix Completion.
    Yan C; Duan G; Wu FX; Pan Y; Wang J
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(2):611-620. PubMed ID: 31295117
    [TBL] [Abstract][Full Text] [Related]  

  • 19. PAIRUP-MS: Pathway analysis and imputation to relate unknowns in profiles from mass spectrometry-based metabolite data.
    Hsu YH; Churchhouse C; Pers TH; Mercader JM; Metspalu A; Fischer K; Fortney K; Morgen EK; Gonzalez C; Gonzalez ME; Esko T; Hirschhorn JN
    PLoS Comput Biol; 2019 Jan; 15(1):e1006734. PubMed ID: 30640898
    [TBL] [Abstract][Full Text] [Related]  

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

    [Next]    [New Search]
    of 6.