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 *

215 related articles for article (PubMed ID: 36132086)

  • 1. Subcellular Localization Prediction of Human Proteins Using Multifeature Selection Methods.
    Zhang YH; Ding S; Chen L; Huang T; Cai YD
    Biomed Res Int; 2022; 2022():3288527. PubMed ID: 36132086
    [TBL] [Abstract][Full Text] [Related]  

  • 2. FGsub: Fusarium graminearum protein subcellular localizations predicted from primary structures.
    Sun C; Zhao XM; Tang W; Chen L
    BMC Syst Biol; 2010 Sep; 4 Suppl 2(Suppl 2):S12. PubMed ID: 20840726
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.
    Chen L; Li Z; Zeng T; Zhang YH; Zhang S; Huang T; Cai YD
    Front Genet; 2021; 12():783128. PubMed ID: 34804131
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Prediction of protein subcellular localization.
    Yu CS; Chen YC; Lu CH; Hwang JK
    Proteins; 2006 Aug; 64(3):643-51. PubMed ID: 16752418
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multitask learning for protein subcellular location prediction.
    Xu Q; Pan SJ; Xue HH; Yang Q
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(3):748-59. PubMed ID: 20421687
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. Semi-supervised protein subcellular localization.
    Xu Q; Hu DH; Xue H; Yu W; Yang Q
    BMC Bioinformatics; 2009 Jan; 10 Suppl 1(Suppl 1):S47. PubMed ID: 19208149
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification of compound-protein interactions through the analysis of gene ontology, KEGG enrichment for proteins and molecular fragments of compounds.
    Chen L; Zhang YH; Zheng M; Huang T; Cai YD
    Mol Genet Genomics; 2016 Dec; 291(6):2065-2079. PubMed ID: 27530612
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. The use of Gene Ontology terms and KEGG pathways for analysis and prediction of oncogenes.
    Xing Z; Chu C; Chen L; Kong X
    Biochim Biophys Acta; 2016 Nov; 1860(11 Pt B):2725-34. PubMed ID: 26801878
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Predicting multiplex subcellular localization of proteins using protein-protein interaction network: a comparative study.
    Jiang JQ; Wu M
    BMC Bioinformatics; 2012 Jun; 13 Suppl 10(Suppl 10):S20. PubMed ID: 22759426
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine learning approach to gene essentiality prediction: a review.
    Aromolaran O; Aromolaran D; Isewon I; Oyelade J
    Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33842944
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Analysis and prediction of drug-drug interaction by minimum redundancy maximum relevance and incremental feature selection.
    Liu L; Chen L; Zhang YH; Wei L; Cheng S; Kong X; Zheng M; Huang T; Cai YD
    J Biomol Struct Dyn; 2017 Feb; 35(2):312-329. PubMed ID: 26750516
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.