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 *

121 related articles for article (PubMed ID: 30998479)

  • 1. Deep Robust Framework for Protein Function Prediction Using Variable-Length Protein Sequences.
    Ranjan A; Fahad MS; Fernandez-Baca D; Deepak A; Tripathi S
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(5):1648-1659. PubMed ID: 30998479
    [TBL] [Abstract][Full Text] [Related]  

  • 2. From Protein Sequence to Protein Function via Multi-Label Linear Discriminant Analysis.
    Wang H; Yan L; Huang H; Ding C
    IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(3):503-513. PubMed ID: 27429445
    [TBL] [Abstract][Full Text] [Related]  

  • 3. SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition.
    Melvin I; Ie E; Kuang R; Weston J; Stafford WN; Leslie C
    BMC Bioinformatics; 2007 May; 8 Suppl 4(Suppl 4):S2. PubMed ID: 17570145
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences.
    Cai B; Jiang X
    BMC Bioinformatics; 2016 Mar; 17():116. PubMed ID: 26940649
    [TBL] [Abstract][Full Text] [Related]  

  • 5. DeepPPSite: A deep learning-based model for analysis and prediction of phosphorylation sites using efficient sequence information.
    Ahmed S; Kabir M; Arif M; Khan ZU; Yu DJ
    Anal Biochem; 2021 Jan; 612():113955. PubMed ID: 32949607
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Prediction of nuclear proteins using nuclear translocation signals proposed by probabilistic latent semantic indexing.
    Su EC; Chang JM; Cheng CW; Sung TY; Hsu WL
    BMC Bioinformatics; 2012; 13 Suppl 17(Suppl 17):S13. PubMed ID: 23282098
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Effect of tokenization on transformers for biological sequences.
    Dotan E; Jaschek G; Pupko T; Belinkov Y
    Bioinformatics; 2024 Mar; 40(4):. PubMed ID: 38608190
    [TBL] [Abstract][Full Text] [Related]  

  • 9. RNA-binding protein recognition based on multi-view deep feature and multi-label learning.
    Yang H; Deng Z; Pan X; Shen HB; Choi KS; Wang L; Wang S; Wu J
    Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32808039
    [TBL] [Abstract][Full Text] [Related]  

  • 10. An Ensemble Tf-Idf Based Approach to Protein Function Prediction via Sequence Segmentation.
    Ranjan A; Fernandez-Baca D; Tripathi S; Deepak A
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(5):2685-2696. PubMed ID: 34185646
    [TBL] [Abstract][Full Text] [Related]  

  • 11. EC number prediction of protein sequences based on combination of hierarchical and global features.
    Yang F; Han QL; Zhao WD; Zhao Y
    Yi Chuan; 2024 Aug; 46(8):661-669. PubMed ID: 39140146
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Protein Family Classification from Scratch: A CNN Based Deep Learning Approach.
    Zhang D; Kabuka MR
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(5):1996-2007. PubMed ID: 31944984
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Protein subcellular multi-localization prediction using a min-max modular support vector machine.
    Yang Y; Lu BL
    Int J Neural Syst; 2010 Feb; 20(1):13-28. PubMed ID: 20180250
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest.
    You ZH; Chan KC; Hu P
    PLoS One; 2015; 10(5):e0125811. PubMed ID: 25946106
    [TBL] [Abstract][Full Text] [Related]  

  • 15. PYTHIA: Deep Learning Approach for Local Protein Conformation Prediction.
    Cretin G; Galochkina T; de Brevern AG; Gelly JC
    Int J Mol Sci; 2021 Aug; 22(16):. PubMed ID: 34445537
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Boosting phosphorylation site prediction with sequence feature-based machine learning.
    Maiti S; Hassan A; Mitra P
    Proteins; 2020 Feb; 88(2):284-291. PubMed ID: 31412138
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Protein Fold Recognition From Sequences Using Convolutional and Recurrent Neural Networks.
    Villegas-Morcillo A; Gomez AM; Morales-Cordovilla JA; Sanchez V
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2848-2854. PubMed ID: 32750896
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A simplified approach to disulfide connectivity prediction from protein sequences.
    Vincent M; Passerini A; Labbé M; Frasconi P
    BMC Bioinformatics; 2008 Jan; 9():20. PubMed ID: 18194539
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Variable Length Character N-Gram Embedding of Protein Sequences for Secondary Structure Prediction.
    Sharma AK; Srivastava R
    Protein Pept Lett; 2021; 28(5):501-507. PubMed ID: 33143605
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep-RBPPred: Predicting RNA binding proteins in the proteome scale based on deep learning.
    Zheng J; Zhang X; Zhao X; Tong X; Hong X; Xie J; Liu S
    Sci Rep; 2018 Oct; 8(1):15264. PubMed ID: 30323214
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.