BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

324 related articles for article (PubMed ID: 30968771)

  • 21. A Comparative Analytical Review on Machine Learning Methods in Drugtarget Interactions Prediction.
    Nikraftar Z; Keyvanpour MR
    Curr Comput Aided Drug Des; 2023; 19(5):325-355. PubMed ID: 36635924
    [TBL] [Abstract][Full Text] [Related]  

  • 22. IMCHGAN: Inductive Matrix Completion With Heterogeneous Graph Attention Networks for Drug-Target Interactions Prediction.
    Li J; Wang J; Lv H; Zhang Z; Wang Z
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(2):655-665. PubMed ID: 34115592
    [TBL] [Abstract][Full Text] [Related]  

  • 23. SMGCN: Multiple Similarity and Multiple Kernel Fusion Based Graph Convolutional Neural Network for Drug-Target Interactions Prediction.
    Wang W; Yu M; Sun B; Li J; Liu D; Zhang H; Wang X; Zhou Y
    IEEE/ACM Trans Comput Biol Bioinform; 2024; 21(1):143-154. PubMed ID: 38051618
    [TBL] [Abstract][Full Text] [Related]  

  • 24. DeepACTION: A deep learning-based method for predicting novel drug-target interactions.
    Hasan Mahmud SM; Chen W; Jahan H; Dai B; Din SU; Dzisoo AM
    Anal Biochem; 2020 Dec; 610():113978. PubMed ID: 33035462
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Drug-target interaction prediction with tree-ensemble learning and output space reconstruction.
    Pliakos K; Vens C
    BMC Bioinformatics; 2020 Feb; 21(1):49. PubMed ID: 32033537
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Comprehensive Review on Drug-target Interaction Prediction - Latest Developments and Overview.
    Abdul Raheem AK; Dhannoon BN
    Curr Drug Discov Technol; 2024; 21(2):e010923220652. PubMed ID: 37680152
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Predicting drug-target interactions using restricted Boltzmann machines.
    Wang Y; Zeng J
    Bioinformatics; 2013 Jul; 29(13):i126-34. PubMed ID: 23812976
    [TBL] [Abstract][Full Text] [Related]  

  • 28. NegStacking: Drug-Target Interaction Prediction Based on Ensemble Learning and Logistic Regression.
    Yang J; He S; Zhang Z; Bo X
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2624-2634. PubMed ID: 31985434
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Multiple similarity drug-target interaction prediction with random walks and matrix factorization.
    Liu B; Papadopoulos D; Malliaros FD; Tsoumakas G; Papadopoulos AN
    Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 36070659
    [TBL] [Abstract][Full Text] [Related]  

  • 30. MOKPE: drug-target interaction prediction via manifold optimization based kernel preserving embedding.
    Binatlı OC; Gönen M
    BMC Bioinformatics; 2023 Jul; 24(1):276. PubMed ID: 37407927
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Incorporating chemical sub-structures and protein evolutionary information for inferring drug-target interactions.
    Wang L; You ZH; Li LP; Yan X; Zhang W
    Sci Rep; 2020 Apr; 10(1):6641. PubMed ID: 32313024
    [TBL] [Abstract][Full Text] [Related]  

  • 32. KenDTI: An Ensemble Model for Predicting Drug-Target Interaction by Integrating Multi-Source Information.
    Yu Z; Lu J; Jin Y; Yang Y
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(4):1305-1314. PubMed ID: 33877984
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network.
    Wang YB; You ZH; Yang S; Yi HC; Chen ZH; Zheng K
    BMC Med Inform Decis Mak; 2020 Mar; 20(Suppl 2):49. PubMed ID: 32183788
    [TBL] [Abstract][Full Text] [Related]  

  • 34. A Machine Learning-Based Biological Drug-Target Interaction Prediction Method for a Tripartite Heterogeneous Network.
    Zheng Y; Wu Z
    ACS Omega; 2021 Feb; 6(4):3037-3045. PubMed ID: 33553921
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Predicting Drug-Target Interactions Based on the Ensemble Models of Multiple Feature Pairs.
    Wang C; Zhang J; Chen P; Wang B
    Int J Mol Sci; 2021 Jun; 22(12):. PubMed ID: 34202954
    [TBL] [Abstract][Full Text] [Related]  

  • 36. DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method.
    Chu Y; Shan X; Chen T; Jiang M; Wang Y; Wang Q; Salahub DR; Xiong Y; Wei DQ
    Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32964234
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Supervised graph co-contrastive learning for drug-target interaction prediction.
    Li Y; Qiao G; Gao X; Wang G
    Bioinformatics; 2022 May; 38(10):2847-2854. PubMed ID: 35561181
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving.
    Shang Y; Ye X; Futamura Y; Yu L; Sakurai T
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35262678
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Drug-Target Interaction Prediction Using Multi-Head Self-Attention and Graph Attention Network.
    Cheng Z; Yan C; Wu FX; Wang J
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(4):2208-2218. PubMed ID: 33956632
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Trader as a new optimization algorithm predicts drug-target interactions efficiently.
    Masoudi-Sobhanzadeh Y; Omidi Y; Amanlou M; Masoudi-Nejad A
    Sci Rep; 2019 Jun; 9(1):9348. PubMed ID: 31249365
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 17.