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 *

100 related articles for article (PubMed ID: 34686040)

  • 1. Graph network based deep learning of bandgaps.
    Li XG; Blaiszik B; Schwarting ME; Jacobs R; Scourtas A; Schmidt KJ; Voyles PM; Morgan D
    J Chem Phys; 2021 Oct; 155(15):154702. PubMed ID: 34686040
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning for impurity charge-state transition levels in semiconductors from elemental properties using multi-fidelity datasets.
    Polak MP; Jacobs R; Mannodi-Kanakkithodi A; Chan MKY; Morgan D
    J Chem Phys; 2022 Mar; 156(11):114110. PubMed ID: 35317590
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Bandgap prediction of two-dimensional materials using machine learning.
    Zhang Y; Xu W; Liu G; Zhang Z; Zhu J; Li M
    PLoS One; 2021; 16(8):e0255637. PubMed ID: 34388173
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.
    Mutasa S; Chang PD; Ruzal-Shapiro C; Ayyala R
    J Digit Imaging; 2018 Aug; 31(4):513-519. PubMed ID: 29404850
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning.
    Jha D; Choudhary K; Tavazza F; Liao WK; Choudhary A; Campbell C; Agrawal A
    Nat Commun; 2019 Nov; 10(1):5316. PubMed ID: 31757948
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Study of crystal properties based on attention mechanism and crystal graph convolutional neural network.
    Wang B; Fan Q; Yue Y
    J Phys Condens Matter; 2022 Mar; 34(19):. PubMed ID: 35189607
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A machine learning correction for DFT non-covalent interactions based on the S22, S66 and X40 benchmark databases.
    Gao T; Li H; Li W; Li L; Fang C; Li H; Hu L; Lu Y; Su ZM
    J Cheminform; 2016; 8():24. PubMed ID: 27148408
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Graph-based prediction of Protein-protein interactions with attributed signed graph embedding.
    Yang F; Fan K; Song D; Lin H
    BMC Bioinformatics; 2020 Jul; 21(1):323. PubMed ID: 32693790
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Survey on graph embeddings and their applications to machine learning problems on graphs.
    Makarov I; Kiselev D; Nikitinsky N; Subelj L
    PeerJ Comput Sci; 2021; 7():e357. PubMed ID: 33817007
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting energy and stability of known and hypothetical crystals using graph neural network.
    Pandey S; Qu J; Stevanović V; St John P; Gorai P
    Patterns (N Y); 2021 Nov; 2(11):100361. PubMed ID: 34820646
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Quantitative Prediction of Vertical Ionization Potentials from DFT via a Graph-Network-Based Delta Machine Learning Model Incorporating Electronic Descriptors.
    Maier S; Collins EM; Raghavachari K
    J Phys Chem A; 2023 Apr; 127(15):3472-3483. PubMed ID: 37014825
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multifidelity Information Fusion with Machine Learning: A Case Study of Dopant Formation Energies in Hafnia.
    Batra R; Pilania G; Uberuaga BP; Ramprasad R
    ACS Appl Mater Interfaces; 2019 Jul; 11(28):24906-24918. PubMed ID: 30990303
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis.
    Abbas Q; Alsheddy A
    Sensors (Basel); 2020 Dec; 21(1):. PubMed ID: 33374270
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Structure motif-centric learning framework for inorganic crystalline systems.
    Banjade HR; Hauri S; Zhang S; Ricci F; Gong W; Hautier G; Vucetic S; Yan Q
    Sci Adv; 2021 Apr; 7(17):. PubMed ID: 33883136
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Prediction Errors of Molecular Machine Learning Models Lower than Hybrid DFT Error.
    Faber FA; Hutchison L; Huang B; Gilmer J; Schoenholz SS; Dahl GE; Vinyals O; Kearnes S; Riley PF; von Lilienfeld OA
    J Chem Theory Comput; 2017 Nov; 13(11):5255-5264. PubMed ID: 28926232
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Practical Deep-Learning Representation for Fast Heterogeneous Catalyst Screening.
    Gu GH; Noh J; Kim S; Back S; Ulissi Z; Jung Y
    J Phys Chem Lett; 2020 May; 11(9):3185-3191. PubMed ID: 32191473
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Fragmentation-Based Graph Embedding Framework for QM/ML.
    Collins EM; Raghavachari K
    J Phys Chem A; 2021 Aug; 125(31):6872-6880. PubMed ID: 34342449
    [TBL] [Abstract][Full Text] [Related]  

  • 19. BetaDL: A protein beta-sheet predictor utilizing a deep learning model and independent set solution.
    Dehghani T; Naghibzadeh M; Eghdami M
    Comput Biol Med; 2019 Jan; 104():241-249. PubMed ID: 30530227
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology.
    Hudson IL
    Methods Mol Biol; 2021; 2190():167-184. PubMed ID: 32804365
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.