BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

207 related articles for article (PubMed ID: 36007240)

  • 1. Large-scale comparison of machine learning algorithms for target prediction of natural products.
    Liang L; Liu Y; Kang B; Wang R; Sun MY; Wu Q; Meng XF; Lin JP
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 36007240
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine Learning Hybrid Model for the Prediction of Chronic Kidney Disease.
    Khalid H; Khan A; Zahid Khan M; Mehmood G; Shuaib Qureshi M
    Comput Intell Neurosci; 2023; 2023():9266889. PubMed ID: 36959840
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Bioactivity Comparison across Multiple Machine Learning Algorithms Using over 5000 Datasets for Drug Discovery.
    Lane TR; Foil DH; Minerali E; Urbina F; Zorn KM; Ekins S
    Mol Pharm; 2021 Jan; 18(1):403-415. PubMed ID: 33325717
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development and validation of consensus machine learning-based models for the prediction of novel small molecules as potential anti-tubercular agents.
    Wani MA; Roy KK
    Mol Divers; 2022 Jun; 26(3):1345-1356. PubMed ID: 34110578
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
    Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
    Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning prediction of nanoparticle in vitro toxicity: A comparative study of classifiers and ensemble-classifiers using the Copeland Index.
    Furxhi I; Murphy F; Mullins M; Poland CA
    Toxicol Lett; 2019 Sep; 312():157-166. PubMed ID: 31102714
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets.
    Wu Z; Zhu M; Kang Y; Leung EL; Lei T; Shen C; Jiang D; Wang Z; Cao D; Hou T
    Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33313673
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Review of Machine Learning Algorithms for Biomedical Applications.
    Binson VA; Thomas S; Subramoniam M; Arun J; Naveen S; Madhu S
    Ann Biomed Eng; 2024 May; 52(5):1159-1183. PubMed ID: 38383870
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of artificial intelligence algorithms and their ranking for the prediction of genetic merit in sheep.
    Hamadani A; Ganai NA; Mudasir S; Shanaz S; Alam S; Hussain I
    Sci Rep; 2022 Nov; 12(1):18726. PubMed ID: 36333409
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning in medicine: a practical introduction.
    Sidey-Gibbons JAM; Sidey-Gibbons CJ
    BMC Med Res Methodol; 2019 Mar; 19(1):64. PubMed ID: 30890124
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study.
    Woodman RJ; Bryant K; Sorich MJ; Pilotto A; Mangoni AA
    J Med Internet Res; 2021 Jun; 23(6):e26139. PubMed ID: 34152274
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Utilizing machine learning algorithms to predict subject genetic mutation class from in silico models of neuronal networks.
    Kress GT; Chan F; Garcia CA; Merrifield WS
    BMC Med Inform Decis Mak; 2022 Nov; 22(1):290. PubMed ID: 36352381
    [TBL] [Abstract][Full Text] [Related]  

  • 13. KFPredict: An ensemble learning prediction framework for diabetes based on fusion of key features.
    Qi H; Song X; Liu S; Zhang Y; Wong KKL
    Comput Methods Programs Biomed; 2023 Apr; 231():107378. PubMed ID: 36731312
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison of machine learning approaches for radioisotope identification using NaI(TI) gamma-ray spectrum.
    Qi S; Zhao W; Chen Y; Chen W; Li J; Zhao H; Xiao W; Ai X; Zhang K; Wang S
    Appl Radiat Isot; 2022 Aug; 186():110212. PubMed ID: 35569263
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A machine learning-based treatment prediction model using whole genome variants of hepatitis C virus.
    Haga H; Sato H; Koseki A; Saito T; Okumoto K; Hoshikawa K; Katsumi T; Mizuno K; Nishina T; Ueno Y
    PLoS One; 2020; 15(11):e0242028. PubMed ID: 33152046
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction of Neurological Outcomes in Out-of-hospital Cardiac Arrest Survivors Immediately after Return of Spontaneous Circulation: Ensemble Technique with Four Machine Learning Models.
    Heo JH; Kim T; Shin J; Suh GJ; Kim J; Jung YS; Park SM; Kim S;
    J Korean Med Sci; 2021 Jul; 36(28):e187. PubMed ID: 34282605
    [TBL] [Abstract][Full Text] [Related]  

  • 17. RNAmining: A machine learning stand-alone and web server tool for RNA coding potential prediction.
    Ramos TAR; Galindo NRO; Arias-Carrasco R; da Silva CF; Maracaja-Coutinho V; do RĂªgo TG
    F1000Res; 2021; 10():323. PubMed ID: 34164114
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparative Studies on Resampling Techniques in Machine Learning and Deep Learning Models for Drug-Target Interaction Prediction.
    Azlim Khan AK; Ahamed Hassain Malim NH
    Molecules; 2023 Feb; 28(4):. PubMed ID: 36838652
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Brainstorming: weighted voting prediction of inhibitors for protein targets.
    Plewczynski D
    J Mol Model; 2011 Sep; 17(9):2133-41. PubMed ID: 20857153
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Error Tolerance of Machine Learning Algorithms across Contemporary Biological Targets.
    Kaiser TM; Burger PB
    Molecules; 2019 Jun; 24(11):. PubMed ID: 31167452
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.