BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

241 related articles for article (PubMed ID: 30885720)

  • 1. MetaPheno: A critical evaluation of deep learning and machine learning in metagenome-based disease prediction.
    LaPierre N; Ju CJ; Zhou G; Wang W
    Methods; 2019 Aug; 166():74-82. PubMed ID: 30885720
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multimodal deep learning applied to classify healthy and disease states of human microbiome.
    Lee SJ; Rho M
    Sci Rep; 2022 Jan; 12(1):824. PubMed ID: 35039534
    [TBL] [Abstract][Full Text] [Related]  

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

  • 4. Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights.
    Pasolli E; Truong DT; Malik F; Waldron L; Segata N
    PLoS Comput Biol; 2016 Jul; 12(7):e1004977. PubMed ID: 27400279
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Metagenomics Biomarkers Selected for Prediction of Three Different Diseases in Chinese Population.
    Wu H; Cai L; Li D; Wang X; Zhao S; Zou F; Zhou K
    Biomed Res Int; 2018; 2018():2936257. PubMed ID: 29568746
    [TBL] [Abstract][Full Text] [Related]  

  • 6. EnsDeepDP: An Ensemble Deep Learning Approach for Disease Prediction Through Metagenomics.
    Shen Y; Zhu J; Deng Z; Lu W; Wang H
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(2):986-998. PubMed ID: 36001521
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Massive metagenomic data analysis using abundance-based machine learning.
    Harris ZN; Dhungel E; Mosior M; Ahn TH
    Biol Direct; 2019 Aug; 14(1):12. PubMed ID: 31370905
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic disease prediction from human gut metagenomic data using boosting GraphSAGE.
    Syama K; Jothi JAA; Khanna N
    BMC Bioinformatics; 2023 Mar; 24(1):126. PubMed ID: 37003965
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Systematic evaluation of supervised machine learning for sample origin prediction using metagenomic sequencing data.
    Chen JC; Tyler AD
    Biol Direct; 2020 Dec; 15(1):29. PubMed ID: 33302990
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep learning methods in metagenomics: a review.
    Roy G; Prifti E; Belda E; Zucker JD
    Microb Genom; 2024 Apr; 10(4):. PubMed ID: 38630611
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of interresidue contacts with DeepMetaPSICOV in CASP13.
    Kandathil SM; Greener JG; Jones DT
    Proteins; 2019 Dec; 87(12):1092-1099. PubMed ID: 31298436
    [TBL] [Abstract][Full Text] [Related]  

  • 12. CoCoNet: an efficient deep learning tool for viral metagenome binning.
    Arisdakessian CG; Nigro OD; Steward GF; Poisson G; Belcaid M
    Bioinformatics; 2021 Sep; 37(18):2803-2810. PubMed ID: 33822891
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes.
    Reitmeier S; Kiessling S; Clavel T; List M; Almeida EL; Ghosh TS; Neuhaus K; Grallert H; Linseisen J; Skurk T; Brandl B; Breuninger TA; Troll M; Rathmann W; Linkohr B; Hauner H; Laudes M; Franke A; Le Roy CI; Bell JT; Spector T; Baumbach J; O'Toole PW; Peters A; Haller D
    Cell Host Microbe; 2020 Aug; 28(2):258-272.e6. PubMed ID: 32619440
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comprehensive Functional Annotation of Metagenomes and Microbial Genomes Using a Deep Learning-Based Method.
    Maranga M; Szczerbiak P; Bezshapkin V; Gligorijevic V; Chandler C; Bonneau R; Xavier RJ; Vatanen T; Kosciolek T
    mSystems; 2023 Apr; 8(2):e0117822. PubMed ID: 37010293
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MegaR: an interactive R package for rapid sample classification and phenotype prediction using metagenome profiles and machine learning.
    Dhungel E; Mreyoud Y; Gwak HJ; Rajeh A; Rho M; Ahn TH
    BMC Bioinformatics; 2021 Jan; 22(1):25. PubMed ID: 33461494
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An Improved Machine Learning-Based Approach to Assess the Microbial Diversity in Major North Indian River Ecosystems.
    Choudhury N; Sahu TK; Rao AR; Rout AK; Behera BK
    Genes (Basel); 2023 May; 14(5):. PubMed ID: 37239442
    [TBL] [Abstract][Full Text] [Related]  

  • 17. RNN-VirSeeker: A Deep Learning Method for Identification of Short Viral Sequences From Metagenomes.
    Liu F; Miao Y; Liu Y; Hou T
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(3):1840-1849. PubMed ID: 33315571
    [TBL] [Abstract][Full Text] [Related]  

  • 18. It takes guts to learn: machine learning techniques for disease detection from the gut microbiome.
    Curry KD; Nute MG; Treangen TJ
    Emerg Top Life Sci; 2021 Dec; 5(6):815-827. PubMed ID: 34779841
    [TBL] [Abstract][Full Text] [Related]  

  • 19. DeepToA: an ensemble deep-learning approach to predicting the theater of activity of a microbiome.
    Zeng W; Gautam A; Huson DH
    Bioinformatics; 2022 Oct; 38(20):4670-4676. PubMed ID: 36029249
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A machine learning framework to determine geolocations from metagenomic profiling.
    Huang L; Xu C; Yang W; Yu R
    Biol Direct; 2020 Nov; 15(1):27. PubMed ID: 33225966
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.