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 *

160 related articles for article (PubMed ID: 27665466)

  • 1. Predicting protein subcellular localization based on information content of gene ontology terms.
    Zhang SB; Tang QR
    Comput Biol Chem; 2016 Dec; 65():1-7. PubMed ID: 27665466
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Protein-protein interaction inference based on semantic similarity of Gene Ontology terms.
    Zhang SB; Tang QR
    J Theor Biol; 2016 Jul; 401():30-7. PubMed ID: 27117309
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Ranking Gene Ontology terms for predicting non-classical secretory proteins in eukaryotes and prokaryotes.
    Huang WL
    J Theor Biol; 2012 Nov; 312():105-13. PubMed ID: 22967952
    [TBL] [Abstract][Full Text] [Related]  

  • 4. mLASSO-Hum: A LASSO-based interpretable human-protein subcellular localization predictor.
    Wan S; Mak MW; Kung SY
    J Theor Biol; 2015 Oct; 382():223-34. PubMed ID: 26164062
    [TBL] [Abstract][Full Text] [Related]  

  • 5. HybridGO-Loc: mining hybrid features on gene ontology for predicting subcellular localization of multi-location proteins.
    Wan S; Mak MW; Kung SY
    PLoS One; 2014; 9(3):e89545. PubMed ID: 24647341
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. ProLoc-GO: utilizing informative Gene Ontology terms for sequence-based prediction of protein subcellular localization.
    Huang WL; Tung CW; Ho SW; Hwang SF; Ho SY
    BMC Bioinformatics; 2008 Feb; 9():80. PubMed ID: 18241343
    [TBL] [Abstract][Full Text] [Related]  

  • 8. GOASVM: a subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition.
    Wan S; Mak MW; Kung SY
    J Theor Biol; 2013 Apr; 323():40-8. PubMed ID: 23376577
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An ensemble classifier for eukaryotic protein subcellular location prediction using gene ontology categories and amino acid hydrophobicity.
    Li L; Zhang Y; Zou L; Li C; Yu B; Zheng X; Zhou Y
    PLoS One; 2012; 7(1):e31057. PubMed ID: 22303481
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MSLoc-DT: a new method for predicting the protein subcellular location of multispecies based on decision templates.
    Zhang SW; Liu YF; Yu Y; Zhang TH; Fan XN
    Anal Biochem; 2014 Mar; 449():164-71. PubMed ID: 24361712
    [TBL] [Abstract][Full Text] [Related]  

  • 11. EvoStruct-Sub: An accurate Gram-positive protein subcellular localization predictor using evolutionary and structural features.
    Uddin MR; Sharma A; Farid DM; Rahman MM; Dehzangi A; Shatabda S
    J Theor Biol; 2018 Apr; 443():138-146. PubMed ID: 29421211
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Use of Chou's 5-steps rule to predict the subcellular localization of gram-negative and gram-positive bacterial proteins by multi-label learning based on gene ontology annotation and profile alignment.
    Bouziane H; Chouarfia A
    J Integr Bioinform; 2020 Jun; 18(1):51-79. PubMed ID: 32598314
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A New Feature Vector Based on Gene Ontology Terms for Protein-Protein Interaction Prediction.
    Bandyopadhyay S; Mallick K
    IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(4):762-770. PubMed ID: 28113911
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Exploring the relationship between hub proteins and drug targets based on GO and intrinsic disorder.
    Fu Y; Guo Y; Wang Y; Luo J; Pu X; Li M; Zhang Z
    Comput Biol Chem; 2015 Jun; 56():41-8. PubMed ID: 25854804
    [TBL] [Abstract][Full Text] [Related]  

  • 16. WegoLoc: accurate prediction of protein subcellular localization using weighted Gene Ontology terms.
    Chi SM; Nam D
    Bioinformatics; 2012 Apr; 28(7):1028-30. PubMed ID: 22296788
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Gene ontology based transfer learning for protein subcellular localization.
    Mei S; Fei W; Zhou S
    BMC Bioinformatics; 2011 Feb; 12():44. PubMed ID: 21284890
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Hum-PLoc: a novel ensemble classifier for predicting human protein subcellular localization.
    Chou KC; Shen HB
    Biochem Biophys Res Commun; 2006 Aug; 347(1):150-7. PubMed ID: 16808903
    [TBL] [Abstract][Full Text] [Related]  

  • 20. PScL-HDeep: image-based prediction of protein subcellular location in human tissue using ensemble learning of handcrafted and deep learned features with two-layer feature selection.
    Ullah M; Han K; Hadi F; Xu J; Song J; Yu DJ
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34337652
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.