BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

188 related articles for article (PubMed ID: 37808286)

  • 1. Machine learning approaches in microbiome research: challenges and best practices.
    Papoutsoglou G; Tarazona S; Lopes MB; Klammsteiner T; Ibrahimi E; Eckenberger J; Novielli P; Tonda A; Simeon A; Shigdel R; Béreux S; Vitali G; Tangaro S; Lahti L; Temko A; Claesson MJ; Berland M
    Front Microbiol; 2023; 14():1261889. PubMed ID: 37808286
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action.
    D'Elia D; Truu J; Lahti L; Berland M; Papoutsoglou G; Ceci M; Zomer A; Lopes MB; Ibrahimi E; Gruca A; Nechyporenko A; Frohme M; Klammsteiner T; Pau ECS; Marcos-Zambrano LJ; Hron K; Pio G; Simeon A; Suharoschi R; Moreno-Indias I; Temko A; Nedyalkova M; Apostol ES; Truică CO; Shigdel R; Telalović JH; Bongcam-Rudloff E; Przymus P; Jordamović NB; Falquet L; Tarazona S; Sampri A; Isola G; Pérez-Serrano D; Trajkovik V; Klucar L; Loncar-Turukalo T; Havulinna AS; Jansen C; Bertelsen RJ; Claesson MJ
    Front Microbiol; 2023; 14():1257002. PubMed ID: 37808321
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
    Anderson AB; Grazal CF; Balazs GC; Potter BK; Dickens JF; Forsberg JA
    Clin Orthop Relat Res; 2020 Jul; 478(7):0-1618. PubMed ID: 32282466
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
    Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
    Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Diagnosis of Inflammatory Bowel Disease and Colorectal Cancer through Multi-View Stacked Generalization Applied on Gut Microbiome Data.
    Imangaliyev S; Schlötterer J; Meyer F; Seifert C
    Diagnostics (Basel); 2022 Oct; 12(10):. PubMed ID: 36292203
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models.
    Jalali-Najafabadi F; Stadler M; Dand N; Jadon D; Soomro M; Ho P; Marzo-Ortega H; Helliwell P; Korendowych E; Simpson MA; Packham J; Smith CH; Barker JN; McHugh N; Warren RB; Barton A; Bowes J; ;
    Sci Rep; 2021 Dec; 11(1):23335. PubMed ID: 34857774
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Just Add Data: automated predictive modeling for knowledge discovery and feature selection.
    Tsamardinos I; Charonyktakis P; Papoutsoglou G; Borboudakis G; Lakiotaki K; Zenklusen JC; Juhl H; Chatzaki E; Lagani V
    NPJ Precis Oncol; 2022 Jun; 6(1):38. PubMed ID: 35710826
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Interpretable and accurate prediction models for metagenomics data.
    Prifti E; Chevaleyre Y; Hanczar B; Belda E; Danchin A; Clément K; Zucker JD
    Gigascience; 2020 Mar; 9(3):. PubMed ID: 32150601
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Inflammatory bowel disease biomarkers of human gut microbiota selected via different feature selection methods.
    Bakir-Gungor B; Hacılar H; Jabeer A; Nalbantoglu OU; Aran O; Yousef M
    PeerJ; 2022; 10():e13205. PubMed ID: 35497193
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Gene targeting in amyotrophic lateral sclerosis using causality-based feature selection and machine learning.
    Founta K; Dafou D; Kanata E; Sklaviadis T; Zanos TP; Gounaris A; Xanthopoulos K
    Mol Med; 2023 Jan; 29(1):12. PubMed ID: 36694130
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Statistical and Machine Learning Techniques in Human Microbiome Studies: Contemporary Challenges and Solutions.
    Moreno-Indias I; Lahti L; Nedyalkova M; Elbere I; Roshchupkin G; Adilovic M; Aydemir O; Bakir-Gungor B; Santa Pau EC; D'Elia D; Desai MS; Falquet L; Gundogdu A; Hron K; Klammsteiner T; Lopes MB; Marcos-Zambrano LJ; Marques C; Mason M; May P; Pašić L; Pio G; Pongor S; Promponas VJ; Przymus P; Saez-Rodriguez J; Sampri A; Shigdel R; Stres B; Suharoschi R; Truu J; Truică CO; Vilne B; Vlachakis D; Yilmaz E; Zeller G; Zomer AL; Gómez-Cabrero D; Claesson MJ
    Front Microbiol; 2021; 12():635781. PubMed ID: 33692771
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Evaluation of Machine Learning Techniques for Traffic Flow-Based Intrusion Detection.
    Rodríguez M; Alesanco Á; Mehavilla L; García J
    Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36502028
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment.
    Marcos-Zambrano LJ; Karaduzovic-Hadziabdic K; Loncar Turukalo T; Przymus P; Trajkovik V; Aasmets O; Berland M; Gruca A; Hasic J; Hron K; Klammsteiner T; Kolev M; Lahti L; Lopes MB; Moreno V; Naskinova I; Org E; Paciência I; Papoutsoglou G; Shigdel R; Stres B; Vilne B; Yousef M; Zdravevski E; Tsamardinos I; Carrillo de Santa Pau E; Claesson MJ; Moreno-Indias I; Truu J
    Front Microbiol; 2021; 12():634511. PubMed ID: 33737920
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Combining handcrafted features with latent variables in machine learning for prediction of radiation-induced lung damage.
    Cui S; Luo Y; Tseng HH; Ten Haken RK; El Naqa I
    Med Phys; 2019 May; 46(5):2497-2511. PubMed ID: 30891794
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Overview of data preprocessing for machine learning applications in human microbiome research.
    Ibrahimi E; Lopes MB; Dhamo X; Simeon A; Shigdel R; Hron K; Stres B; D'Elia D; Berland M; Marcos-Zambrano LJ
    Front Microbiol; 2023; 14():1250909. PubMed ID: 37869650
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Overall Survival Prognostic Modelling of Non-small Cell Lung Cancer Patients Using Positron Emission Tomography/Computed Tomography Harmonised Radiomics Features: The Quest for the Optimal Machine Learning Algorithm.
    Amini M; Hajianfar G; Hadadi Avval A; Nazari M; Deevband MR; Oveisi M; Shiri I; Zaidi H
    Clin Oncol (R Coll Radiol); 2022 Feb; 34(2):114-127. PubMed ID: 34872823
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Feature Selection Methods for Early Predictive Biomarker Discovery Using Untargeted Metabolomic Data.
    Grissa D; Pétéra M; Brandolini M; Napoli A; Comte B; Pujos-Guillot E
    Front Mol Biosci; 2016; 3():30. PubMed ID: 27458587
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A machine learning-based approach to prognostic analysis of thoracic transplantations.
    Delen D; Oztekin A; Kong ZJ
    Artif Intell Med; 2010 May; 49(1):33-42. PubMed ID: 20153956
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.