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 *

242 related articles for article (PubMed ID: 31655541)

  • 1. MIC_Locator: a novel image-based protein subcellular location multi-label prediction model based on multi-scale monogenic signal representation and intensity encoding strategy.
    Yang F; Liu Y; Wang Y; Yin Z; Yang Z
    BMC Bioinformatics; 2019 Oct; 20(1):522. PubMed ID: 31655541
    [TBL] [Abstract][Full Text] [Related]  

  • 2. mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines.
    Wan S; Mak MW; Kung SY
    BMC Bioinformatics; 2012 Nov; 13():290. PubMed ID: 23130999
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Accurate prediction of multi-label protein subcellular localization through multi-view feature learning with RBRL classifier.
    Zhang Q; Zhang Y; Li S; Han Y; Jin S; Gu H; Yu B
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33537726
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bioimage-Based Prediction of Protein Subcellular Location in Human Tissue with Ensemble Features and Deep Networks.
    Liu GH; Zhang BW; Qian G; Wang B; Mao B; Bichindaritz I
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(6):1966-1980. PubMed ID: 31107658
    [TBL] [Abstract][Full Text] [Related]  

  • 5. mPLR-Loc: an adaptive decision multi-label classifier based on penalized logistic regression for protein subcellular localization prediction.
    Wan S; Mak MW; Kung SY
    Anal Biochem; 2015 Mar; 473():14-27. PubMed ID: 25449328
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Protein subcellular localization prediction using multiple kernel learning based support vector machine.
    Hasan MA; Ahmad S; Molla MK
    Mol Biosyst; 2017 Mar; 13(4):785-795. PubMed ID: 28247893
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-location gram-positive and gram-negative bacterial protein subcellular localization using gene ontology and multi-label classifier ensemble.
    Wang X; Zhang J; Li GZ
    BMC Bioinformatics; 2015; 16 Suppl 12(Suppl 12):S1. PubMed ID: 26329681
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multilabel learning via random label selection for protein subcellular multilocations prediction.
    Wang X; Li GZ
    IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(2):436-46. PubMed ID: 23929867
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Enhancing membrane protein subcellular localization prediction by parallel fusion of multi-view features.
    Yu D; Wu X; Shen H; Yang J; Tang Z; Qi Y; Yang J
    IEEE Trans Nanobioscience; 2012 Dec; 11(4):375-85. PubMed ID: 22875262
    [TBL] [Abstract][Full Text] [Related]  

  • 10. HAR_Locator: a novel protein subcellular location prediction model of immunohistochemistry images based on hybrid attention modules and residual units.
    Zou K; Wang S; Wang Z; Zhang Z; Yang F
    Front Mol Biosci; 2023; 10():1171429. PubMed ID: 37664182
    [No Abstract]   [Full Text] [Related]  

  • 11. Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain features.
    Zhou H; Yang Y; Shen HB
    Bioinformatics; 2017 Mar; 33(6):843-853. PubMed ID: 27993784
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep Forest-based Prediction of Protein Subcellular Localization.
    Zhao L; Wang J; Nabil MM; Zhang J
    Curr Gene Ther; 2018; 18(5):268-274. PubMed ID: 30209998
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou's general PseAAC.
    Shen Y; Tang J; Guo F
    J Theor Biol; 2019 Feb; 462():230-239. PubMed ID: 30452958
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multilabel learning for protein subcellular location prediction.
    Li GZ; Wang X; Hu X; Liu JM; Zhao RW
    IEEE Trans Nanobioscience; 2012 Sep; 11(3):237-43. PubMed ID: 22987129
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multi-label learning with fuzzy hypergraph regularization for protein subcellular location prediction.
    Chen J; Tang YY; Chen CL; Fang B; Lin Y; Shang Z
    IEEE Trans Nanobioscience; 2014 Dec; 13(4):438-47. PubMed ID: 25099514
    [TBL] [Abstract][Full Text] [Related]  

  • 16. HPSLPred: An Ensemble Multi-Label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source.
    Wan S; Duan Y; Zou Q
    Proteomics; 2017 Sep; 17(17-18):. PubMed ID: 28776938
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Sparse regressions for predicting and interpreting subcellular localization of multi-label proteins.
    Wan S; Mak MW; Kung SY
    BMC Bioinformatics; 2016 Feb; 17():97. PubMed ID: 26911432
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of Protein Subcellular Localization Based on Fusion of Multi-view Features.
    Li B; Cai L; Liao B; Fu X; Bing P; Yang J
    Molecules; 2019 Mar; 24(5):. PubMed ID: 30845684
    [TBL] [Abstract][Full Text] [Related]  

  • 19. iLoc-Animal: a multi-label learning classifier for predicting subcellular localization of animal proteins.
    Lin WZ; Fang JA; Xiao X; Chou KC
    Mol Biosyst; 2013 Apr; 9(4):634-44. PubMed ID: 23370050
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of bacterial protein subcellular localization by incorporating various features into Chou's PseAAC and a backward feature selection approach.
    Li L; Yu S; Xiao W; Li Y; Li M; Huang L; Zheng X; Zhou S; Yang H
    Biochimie; 2014 Sep; 104():100-7. PubMed ID: 24929100
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.