577 related articles for article (PubMed ID: 28155639)
1. Inferring new indications for approved drugs via random walk on drug-disease heterogenous networks.
Liu H; Song Y; Guan J; Luo L; Zhuang Z
BMC Bioinformatics; 2016 Dec; 17(Suppl 17):539. PubMed ID: 28155639
[TBL] [Abstract][Full Text] [Related]
2. Computational drug repositioning using meta-path-based semantic network analysis.
Tian Z; Teng Z; Cheng S; Guo M
BMC Syst Biol; 2018 Dec; 12(Suppl 9):134. PubMed ID: 30598084
[TBL] [Abstract][Full Text] [Related]
3. Drug repositioning based on individual bi-random walks on a heterogeneous network.
Wang Y; Guo M; Ren Y; Jia L; Yu G
BMC Bioinformatics; 2019 Dec; 20(Suppl 15):547. PubMed ID: 31874623
[TBL] [Abstract][Full Text] [Related]
4. BiRWDDA: A Novel Drug Repositioning Method Based on Multisimilarity Fusion.
Yan CK; Wang WX; Zhang G; Wang JL; Patel A
J Comput Biol; 2019 Nov; 26(11):1230-1242. PubMed ID: 31140857
[No Abstract] [Full Text] [Related]
5. Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm.
Luo H; Wang J; Li M; Luo J; Peng X; Wu FX; Pan Y
Bioinformatics; 2016 Sep; 32(17):2664-71. PubMed ID: 27153662
[TBL] [Abstract][Full Text] [Related]
6. Drug-target interaction prediction by random walk on the heterogeneous network.
Chen X; Liu MX; Yan GY
Mol Biosyst; 2012 Jul; 8(7):1970-8. PubMed ID: 22538619
[TBL] [Abstract][Full Text] [Related]
7. Computational Drug Repositioning with Random Walk on a Heterogeneous Network.
Luo H; Wang J; Li M; Luo J; Ni P; Zhao K; Wu FX; Pan Y
IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(6):1890-1900. PubMed ID: 29994051
[TBL] [Abstract][Full Text] [Related]
8. HNet-DNN: Inferring New Drug-Disease Associations with Deep Neural Network Based on Heterogeneous Network Features.
Liu H; Zhang W; Song Y; Deng L; Zhou S
J Chem Inf Model; 2020 Apr; 60(4):2367-2376. PubMed ID: 32118415
[TBL] [Abstract][Full Text] [Related]
9. NEDD: a network embedding based method for predicting drug-disease associations.
Zhou R; Lu Z; Luo H; Xiang J; Zeng M; Li M
BMC Bioinformatics; 2020 Sep; 21(Suppl 13):387. PubMed ID: 32938396
[TBL] [Abstract][Full Text] [Related]
10. SNF-NN: computational method to predict drug-disease interactions using similarity network fusion and neural networks.
Jarada TN; Rokne JG; Alhajj R
BMC Bioinformatics; 2021 Jan; 22(1):28. PubMed ID: 33482713
[TBL] [Abstract][Full Text] [Related]
11. A Novel Drug Repositioning Approach Based on Integrative Multiple Similarity Measures.
Yan C; Feng L; Wang W; Wang J; Zhang G; Luo J
Curr Mol Med; 2020; 20(6):442-451. PubMed ID: 31729291
[TBL] [Abstract][Full Text] [Related]
12. PREDICT: a method for inferring novel drug indications with application to personalized medicine.
Gottlieb A; Stein GY; Ruppin E; Sharan R
Mol Syst Biol; 2011 Jun; 7():496. PubMed ID: 21654673
[TBL] [Abstract][Full Text] [Related]
13. Computational drug repositioning using low-rank matrix approximation and randomized algorithms.
Luo H; Li M; Wang S; Liu Q; Li Y; Wang J
Bioinformatics; 2018 Jun; 34(11):1904-1912. PubMed ID: 29365057
[TBL] [Abstract][Full Text] [Related]
14. Overlap matrix completion for predicting drug-associated indications.
Yang M; Luo H; Li Y; Wu FX; Wang J
PLoS Comput Biol; 2019 Dec; 15(12):e1007541. PubMed ID: 31869322
[TBL] [Abstract][Full Text] [Related]
15. A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations.
Li J; Li X; Feng X; Wang B; Zhao B; Wang L
BMC Bioinformatics; 2019 Dec; 20(1):626. PubMed ID: 31795943
[TBL] [Abstract][Full Text] [Related]
16. MD-Miner: a network-based approach for personalized drug repositioning.
Wu H; Miller E; Wijegunawardana D; Regan K; Payne PRO; Li F
BMC Syst Biol; 2017 Oct; 11(Suppl 5):86. PubMed ID: 28984195
[TBL] [Abstract][Full Text] [Related]
17. Predicting drug-disease associations and their therapeutic function based on the drug-disease association bipartite network.
Zhang W; Yue X; Huang F; Liu R; Chen Y; Ruan C
Methods; 2018 Aug; 145():51-59. PubMed ID: 29879508
[TBL] [Abstract][Full Text] [Related]
18. HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks.
Zhao BW; Hu L; You ZH; Wang L; Su XR
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34891172
[TBL] [Abstract][Full Text] [Related]
19. Prediction of Novel Drugs for Hepatocellular Carcinoma Based on Multi-Source Random Walk.
Yu L; Su R; Wang B; Zhang L; Zou Y; Zhang J; Gao L
IEEE/ACM Trans Comput Biol Bioinform; 2017; 14(4):966-977. PubMed ID: 27076463
[TBL] [Abstract][Full Text] [Related]
20. Predicting Potential Drugs for Breast Cancer based on miRNA and Tissue Specificity.
Yu L; Zhao J; Gao L
Int J Biol Sci; 2018; 14(8):971-982. PubMed ID: 29989066
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
