BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

198 related articles for article (PubMed ID: 31940546)

  • 1. Using Weighted Extreme Learning Machine Combined With Scale-Invariant Feature Transform to Predict Protein-Protein Interactions From Protein Evolutionary Information.
    Li J; Shi X; You ZH; Yi HC; Chen Z; Lin Q; Fang M
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(5):1546-1554. PubMed ID: 31940546
    [TBL] [Abstract][Full Text] [Related]  

  • 2. RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences.
    An JY; You ZH; Meng FR; Xu SJ; Wang Y
    Int J Mol Sci; 2016 May; 17(5):. PubMed ID: 27213337
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting Protein-Protein Interactions via Random Ferns with Evolutionary Matrix Representation.
    Li Y; Wang Z; You ZH; Li LP; Hu X
    Comput Math Methods Med; 2022; 2022():7191684. PubMed ID: 35242211
    [TBL] [Abstract][Full Text] [Related]  

  • 4. PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein-Protein Interactions from Protein Sequences.
    Wang Y; You Z; Li X; Chen X; Jiang T; Zhang J
    Int J Mol Sci; 2017 May; 18(5):. PubMed ID: 28492483
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM.
    Wang YB; You ZH; Li LP; Huang YA; Yi HC
    Molecules; 2017 Aug; 22(8):. PubMed ID: 28820478
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Improving protein-protein interactions prediction accuracy using protein evolutionary information and relevance vector machine model.
    An JY; Meng FR; You ZH; Chen X; Yan GY; Hu JP
    Protein Sci; 2016 Oct; 25(10):1825-33. PubMed ID: 27452983
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier.
    Li ZW; You ZH; Chen X; Li LP; Huang DS; Yan GY; Nie R; Huang YA
    Oncotarget; 2017 Apr; 8(14):23638-23649. PubMed ID: 28423569
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition.
    Huang YA; You ZH; Chen X; Yan GY
    BMC Syst Biol; 2016 Dec; 10(Suppl 4):120. PubMed ID: 28155718
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis.
    You ZH; Lei YK; Zhu L; Xia J; Wang B
    BMC Bioinformatics; 2013; 14 Suppl 8(Suppl 8):S10. PubMed ID: 23815620
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Ens-PPI: A Novel Ensemble Classifier for Predicting the Interactions of Proteins Using Autocovariance Transformation from PSSM.
    Gao ZG; Wang L; Xia SX; You ZH; Yan X; Zhou Y
    Biomed Res Int; 2016; 2016():4563524. PubMed ID: 27437399
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predicting protein-protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach.
    Tian B; Wu X; Chen C; Qiu W; Ma Q; Yu B
    J Theor Biol; 2019 Feb; 462():329-346. PubMed ID: 30452960
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding.
    Huang YA; You ZH; Chen X; Chan K; Luo X
    BMC Bioinformatics; 2016 Apr; 17(1):184. PubMed ID: 27112932
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Global protein-protein interaction networks in yeast saccharomyces cerevisiae and helicobacter pylori.
    Zandi F; Mansouri P; Goodarzi M
    Talanta; 2023 Dec; 265():124836. PubMed ID: 37393709
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Detecting protein-protein interactions with a novel matrix-based protein sequence representation and support vector machines.
    You ZH; Li J; Gao X; He Z; Zhu L; Lei YK; Ji Z
    Biomed Res Int; 2015; 2015():867516. PubMed ID: 26000305
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Protein-Protein Interactions Prediction Based on Graph Energy and Protein Sequence Information.
    Xu D; Xu H; Zhang Y; Chen W; Gao R
    Molecules; 2020 Apr; 25(8):. PubMed ID: 32316294
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Protein features fusion using attributed network embedding for predicting protein-protein interaction.
    Cao MY; Zainudin S; Daud KM
    BMC Genomics; 2024 May; 25(1):466. PubMed ID: 38741045
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Protein-Protein Interactions Prediction via Multimodal Deep Polynomial Network and Regularized Extreme Learning Machine.
    Lei H; Wen Y; You Z; Elazab A; Tan EL; Zhao Y; Lei B
    IEEE J Biomed Health Inform; 2019 May; 23(3):1290-1303. PubMed ID: 29994278
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting protein-protein interactions from protein sequences by a stacked sparse autoencoder deep neural network.
    Wang YB; You ZH; Li X; Jiang TH; Chen X; Zhou X; Wang L
    Mol Biosyst; 2017 Jun; 13(7):1336-1344. PubMed ID: 28604872
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Using Weighted Sparse Representation Model Combined with Discrete Cosine Transformation to Predict Protein-Protein Interactions from Protein Sequence.
    Huang YA; You ZH; Gao X; Wong L; Wang L
    Biomed Res Int; 2015; 2015():902198. PubMed ID: 26634213
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.