These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

127 related articles for article (PubMed ID: 36053051)

  • 1. Comprehensive Machine Learning Prediction of Extensive Enzymatic Reactions.
    Watanabe N; Yamamoto M; Murata M; Vavricka CJ; Ogino C; Kondo A; Araki M
    J Phys Chem B; 2022 Sep; 126(36):6762-6770. PubMed ID: 36053051
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exploration and Evaluation of Machine Learning-Based Models for Predicting Enzymatic Reactions.
    Watanabe N; Murata M; Ogawa T; Vavricka CJ; Kondo A; Ogino C; Araki M
    J Chem Inf Model; 2020 Mar; 60(3):1833-1843. PubMed ID: 32053362
    [TBL] [Abstract][Full Text] [Related]  

  • 3. deepNEC: a novel alignment-free tool for the identification and classification of nitrogen biochemical network-related enzymes using deep learning.
    Duhan N; Norton JM; Kaundal R
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35325031
    [TBL] [Abstract][Full Text] [Related]  

  • 4. GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery.
    Lin S; Shi C; Chen J
    BMC Bioinformatics; 2022 Sep; 23(1):367. PubMed ID: 36071406
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A deep neural network-based approach for prediction of mutagenicity of compounds.
    Kumar R; Khan FU; Sharma A; Siddiqui MH; Aziz IB; Kamal MA; Ashraf GM; Alghamdi BS; Uddin MS
    Environ Sci Pollut Res Int; 2021 Sep; 28(34):47641-47650. PubMed ID: 33895950
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of the output factor using machine and deep learning approach in uniform scanning proton therapy.
    Grewal HS; Chacko MS; Ahmad S; Jin H
    J Appl Clin Med Phys; 2020 Jul; 21(7):128-134. PubMed ID: 32419245
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine Learning Using Neural Networks for Metabolomic Pathway Analyses.
    Bonetta Valentino R; Ebejer JP; Valentino G
    Methods Mol Biol; 2023; 2553():395-415. PubMed ID: 36227552
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Multiclassification Prediction of Enzymatic Reactions for Oxidoreductases and Hydrolases Using Reaction Fingerprints and Machine Learning Methods.
    Cai Y; Yang H; Li W; Liu G; Lee PW; Tang Y
    J Chem Inf Model; 2018 Jun; 58(6):1169-1181. PubMed ID: 29733642
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Advancing molecular graphs with descriptors for the prediction of chemical reaction yields.
    Yarish D; Garkot S; Grygorenko OO; Radchenko DS; Moroz YS; Gurbych O
    J Comput Chem; 2023 Jan; 44(2):76-92. PubMed ID: 36264601
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation.
    Afzali MH; Sunderland M; Stewart S; Masse B; Seguin J; Newton N; Teesson M; Conrod P
    Addiction; 2019 Apr; 114(4):662-671. PubMed ID: 30461117
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Exploration of chemical space with partial labeled noisy student self-training and self-supervised graph embedding.
    Liu Y; Lim H; Xie L
    BMC Bioinformatics; 2022 May; 23(Suppl 3):158. PubMed ID: 35501680
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A clinical text classification paradigm using weak supervision and deep representation.
    Wang Y; Sohn S; Liu S; Shen F; Wang L; Atkinson EJ; Amin S; Liu H
    BMC Med Inform Decis Mak; 2019 Jan; 19(1):1. PubMed ID: 30616584
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A deep learning approach to evaluate the feasibility of enzymatic reactions generated by retrobiosynthesis.
    Kim Y; Ryu JY; Kim HU; Jang WD; Lee SY
    Biotechnol J; 2021 May; 16(5):e2000605. PubMed ID: 33386776
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective.
    Olisah CC; Smith L; Smith M
    Comput Methods Programs Biomed; 2022 Jun; 220():106773. PubMed ID: 35429810
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting post-stroke pneumonia using deep neural network approaches.
    Ge Y; Wang Q; Wang L; Wu H; Peng C; Wang J; Xu Y; Xiong G; Zhang Y; Yi Y
    Int J Med Inform; 2019 Dec; 132():103986. PubMed ID: 31629312
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Effects of Food Contamination on Gastrointestinal Morbidity: Comparison of Different Machine-Learning Methods.
    Song Q; Zheng YJ; Yang J
    Int J Environ Res Public Health; 2019 Mar; 16(5):. PubMed ID: 30866562
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
    Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
    Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparative Analysis on Machine Learning and Deep Learning to Predict Post-Induction Hypotension.
    Lee J; Woo J; Kang AR; Jeong YS; Jung W; Lee M; Kim SH
    Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32824073
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.