240 related articles for article (PubMed ID: 29687309)
1. DR2DI: a powerful computational tool for predicting novel drug-disease associations.
Lu L; Yu H
J Comput Aided Mol Des; 2018 May; 32(5):633-642. PubMed ID: 29687309
[TBL] [Abstract][Full Text] [Related]
2. Drug Repositioning by Integrating Known Disease-Gene and Drug-Target Associations in a Semi-supervised Learning Model.
Le DH; Nguyen-Ngoc D
Acta Biotheor; 2018 Dec; 66(4):315-331. PubMed ID: 29700660
[TBL] [Abstract][Full Text] [Related]
3. In silico drug repositioning using deep learning and comprehensive similarity measures.
Yi HC; You ZH; Wang L; Su XR; Zhou X; Jiang TH
BMC Bioinformatics; 2021 Jun; 22(Suppl 3):293. PubMed ID: 34074242
[TBL] [Abstract][Full Text] [Related]
4. DDAPRED: a computational method for predicting drug repositioning using regularized logistic matrix factorization.
Wang X; Yan R
J Mol Model; 2020 Feb; 26(3):60. PubMed ID: 32062701
[TBL] [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. deepDR: a network-based deep learning approach to in silico drug repositioning.
Zeng X; Zhu S; Liu X; Zhou Y; Nussinov R; Cheng F
Bioinformatics; 2019 Dec; 35(24):5191-5198. PubMed ID: 31116390
[TBL] [Abstract][Full Text] [Related]
7. Drug repositioning through integration of prior knowledge and projections of drugs and diseases.
Xuan P; Cao Y; Zhang T; Wang X; Pan S; Shen T
Bioinformatics; 2019 Oct; 35(20):4108-4119. PubMed ID: 30865257
[TBL] [Abstract][Full Text] [Related]
8. A Drug-Target Network-Based Supervised Machine Learning Repurposing Method Allowing the Use of Multiple Heterogeneous Information Sources.
Nascimento ACA; Prudêncio RBC; Costa IG
Methods Mol Biol; 2019; 1903():281-289. PubMed ID: 30547449
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Predicting associations among drugs, targets and diseases by tensor decomposition for drug repositioning.
Wang R; Li S; Cheng L; Wong MH; Leung KS
BMC Bioinformatics; 2019 Dec; 20(Suppl 26):628. PubMed ID: 31839008
[TBL] [Abstract][Full Text] [Related]
12. DrPOCS: Drug Repositioning Based on Projection Onto Convex Sets.
Wang YY; Cui C; Qi L; Yan H; Zhao XM
IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(1):154-162. PubMed ID: 29993698
[TBL] [Abstract][Full Text] [Related]
13. Predicting Drug-Disease Associations via Using Gaussian Interaction Profile and Kernel-Based Autoencoder.
Jiang HJ; Huang YA; You ZH
Biomed Res Int; 2019; 2019():2426958. PubMed ID: 31534955
[TBL] [Abstract][Full Text] [Related]
14. Heter-LP: A Heterogeneous Label Propagation Method for Drug Repositioning.
Lotfi Shahreza M; Ghadiri N; Green JR
Methods Mol Biol; 2019; 1903():291-316. PubMed ID: 30547450
[TBL] [Abstract][Full Text] [Related]
15. gene2drug: a computational tool for pathway-based rational drug repositioning.
Napolitano F; Carrella D; Mandriani B; Pisonero-Vaquero S; Sirci F; Medina DL; Brunetti-Pierri N; di Bernardo D
Bioinformatics; 2018 May; 34(9):1498-1505. PubMed ID: 29236977
[TBL] [Abstract][Full Text] [Related]
16. Predicting drug-disease interactions by semi-supervised graph cut algorithm and three-layer data integration.
Wu G; Liu J; Wang C
BMC Med Genomics; 2017 Dec; 10(Suppl 5):79. PubMed ID: 29297383
[TBL] [Abstract][Full Text] [Related]
17. Predicting combinative drug pairs via multiple classifier system with positive samples only.
Shi JY; Li JX; Mao KT; Cao JB; Lei P; Lu HM; Yiu SM
Comput Methods Programs Biomed; 2019 Jan; 168():1-10. PubMed ID: 30527128
[TBL] [Abstract][Full Text] [Related]
18. Open-source chemogenomic data-driven algorithms for predicting drug-target interactions.
Hao M; Bryant SH; Wang Y
Brief Bioinform; 2019 Jul; 20(4):1465-1474. PubMed ID: 29420684
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Heter-LP: A heterogeneous label propagation algorithm and its application in drug repositioning.
Lotfi Shahreza M; Ghadiri N; Mousavi SR; Varshosaz J; Green JR
J Biomed Inform; 2017 Apr; 68():167-183. PubMed ID: 28300647
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]