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 *

167 related articles for article (PubMed ID: 30134153)

  • 21. CryoTransformer: A Transformer Model for Picking Protein Particles from Cryo-EM Micrographs.
    Dhakal A; Gyawali R; Wang L; Cheng J
    bioRxiv; 2023 Oct; ():. PubMed ID: 37961171
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A large expert-curated cryo-EM image dataset for machine learning protein particle picking.
    Dhakal A; Gyawali R; Wang L; Cheng J
    Sci Data; 2023 Jun; 10(1):392. PubMed ID: 37349345
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Deep-learning with synthetic data enables automated picking of cryo-EM particle images of biological macromolecules.
    Yao R; Qian J; Huang Q
    Bioinformatics; 2020 Feb; 36(4):1252-1259. PubMed ID: 31584618
    [TBL] [Abstract][Full Text] [Related]  

  • 24. CryoSegNet: accurate cryo-EM protein particle picking by integrating the foundational AI image segmentation model and attention-gated U-Net.
    Gyawali R; Dhakal A; Wang L; Cheng J
    Brief Bioinform; 2024 May; 25(4):. PubMed ID: 38860738
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A particle-filter framework for robust cryo-EM 3D reconstruction.
    Hu M; Yu H; Gu K; Wang Z; Ruan H; Wang K; Ren S; Li B; Gan L; Xu S; Yang G; Shen Y; Li X
    Nat Methods; 2018 Dec; 15(12):1083-1089. PubMed ID: 30504871
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Robustness of signal detection in cryo-electron microscopy via a bi-objective-function approach.
    Wang WL; Yu Z; Castillo-Menendez LR; Sodroski J; Mao Y
    BMC Bioinformatics; 2019 Apr; 20(1):169. PubMed ID: 30943890
    [TBL] [Abstract][Full Text] [Related]  

  • 27. DeepCryoPicker: fully automated deep neural network for single protein particle picking in cryo-EM.
    Al-Azzawi A; Ouadou A; Max H; Duan Y; Tanner JJ; Cheng J
    BMC Bioinformatics; 2020 Nov; 21(1):509. PubMed ID: 33167860
    [TBL] [Abstract][Full Text] [Related]  

  • 28. CryoPPP: A Large Expert-Labelled Cryo-EM Image Dataset for Machine Learning Protein Particle Picking.
    Dhakal A; Gyawali R; Wang L; Cheng J
    bioRxiv; 2023 Feb; ():. PubMed ID: 36865277
    [TBL] [Abstract][Full Text] [Related]  

  • 29. MicrographCleaner: A python package for cryo-EM micrograph cleaning using deep learning.
    Sanchez-Garcia R; Segura J; Maluenda D; Sorzano COS; Carazo JM
    J Struct Biol; 2020 Jun; 210(3):107498. PubMed ID: 32276087
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Robust filtering and particle picking in micrograph images towards 3D reconstruction of purified proteins with cryo-electron microscopy.
    Kumar V; Heikkonen J; Engelhardt P; Kaski K
    J Struct Biol; 2004; 145(1-2):41-51. PubMed ID: 15065672
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Detecting particles in cryo-EM micrographs using learned features.
    Mallick SP; Zhu Y; Kriegman D
    J Struct Biol; 2004; 145(1-2):52-62. PubMed ID: 15065673
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs.
    Bepler T; Morin A; Rapp M; Brasch J; Shapiro L; Noble AJ; Berger B
    Nat Methods; 2019 Nov; 16(11):1153-1160. PubMed ID: 31591578
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Auto3DCryoMap: an automated particle alignment approach for 3D cryo-EM density map reconstruction.
    Al-Azzawi A; Ouadou A; Duan Y; Cheng J
    BMC Bioinformatics; 2020 Dec; 21(Suppl 21):534. PubMed ID: 33371884
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Swin-cryoEM: Multi-class cryo-electron micrographs single particle mixed detection method.
    Fang K; Wang J; Chen Q; Feng X; Qu Y; Shi J; Xu Z
    PLoS One; 2024; 19(4):e0298287. PubMed ID: 38593135
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Particle quality assessment and sorting for automatic and semiautomatic particle-picking techniques.
    Vargas J; Abrishami V; Marabini R; de la Rosa-Trevín JM; Zaldivar A; Carazo JM; Sorzano COS
    J Struct Biol; 2013 Sep; 183(3):342-353. PubMed ID: 23933392
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Simulating cryo electron tomograms of crowded cell cytoplasm for assessment of automated particle picking.
    Pei L; Xu M; Frazier Z; Alber F
    BMC Bioinformatics; 2016 Oct; 17(1):405. PubMed ID: 27716029
    [TBL] [Abstract][Full Text] [Related]  

  • 37. FindEM--a fast, efficient program for automatic selection of particles from electron micrographs.
    Roseman AM
    J Struct Biol; 2004; 145(1-2):91-9. PubMed ID: 15065677
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A Transfer Learning-Based Classification Model for Particle Pruning in Cryo-Electron Microscopy.
    Li H; Chen G; Gao S; Li J; Wan X; Zhang F
    J Comput Biol; 2022 Oct; 29(10):1117-1131. PubMed ID: 35985012
    [No Abstract]   [Full Text] [Related]  

  • 39. Single-particle reconstruction statistics: a diagnostic tool in solving biomolecular structures by cryo-EM.
    Heymann JB
    Acta Crystallogr F Struct Biol Commun; 2019 Jan; 75(Pt 1):33-44. PubMed ID: 30605123
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Particle picking by segmentation: a comparative study with SPIDER-based manual particle picking.
    Adiga U; Baxter WT; Hall RJ; Rockel B; Rath BK; Frank J; Glaeser R
    J Struct Biol; 2005 Dec; 152(3):211-20. PubMed ID: 16330229
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.