183 related articles for article (PubMed ID: 29688306)
1. EMUDRA: Ensemble of Multiple Drug Repositioning Approaches to improve prediction accuracy.
Zhou X; Wang M; Katsyv I; Irie H; Zhang B
Bioinformatics; 2018 Sep; 34(18):3151-3159. PubMed ID: 29688306
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Reconciling multiple connectivity scores for drug repurposing.
Samart K; Tuyishime P; Krishnan A; Ravi J
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34013329
[TBL] [Abstract][Full Text] [Related]
4. springD2A: capturing uncertainty in disease-drug association prediction with model integration.
Wang W; Zhang X; Dai DQ
Bioinformatics; 2022 Feb; 38(5):1353-1360. PubMed ID: 34864881
[TBL] [Abstract][Full Text] [Related]
5. From drug repositioning to target repositioning: prediction of therapeutic targets using genetically perturbed transcriptomic signatures.
Namba S; Iwata M; Yamanishi Y
Bioinformatics; 2022 Jun; 38(Suppl 1):i68-i76. PubMed ID: 35758779
[TBL] [Abstract][Full Text] [Related]
6. Drug-target interaction prediction: A Bayesian ranking approach.
Peska L; Buza K; Koller J
Comput Methods Programs Biomed; 2017 Dec; 152():15-21. PubMed ID: 29054256
[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. Drug repositioning based on bounded nuclear norm regularization.
Yang M; Luo H; Li Y; Wang J
Bioinformatics; 2019 Jul; 35(14):i455-i463. PubMed ID: 31510658
[TBL] [Abstract][Full Text] [Related]
9. PATHOME-Drug: a subpathway-based polypharmacology drug-repositioning method.
Nam S; Lee S; Park S; Lee J; Park A; Kim YH; Park T
Bioinformatics; 2022 Jan; 38(2):444-452. PubMed ID: 34515762
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Drug repositioning by integrating target information through a heterogeneous network model.
Wang W; Yang S; Zhang X; Li J
Bioinformatics; 2014 Oct; 30(20):2923-30. PubMed ID: 24974205
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. DRIMC: an improved drug repositioning approach using Bayesian inductive matrix completion.
Zhang W; Xu H; Li X; Gao Q; Wang L
Bioinformatics; 2020 May; 36(9):2839-2847. PubMed ID: 31999326
[TBL] [Abstract][Full Text] [Related]
14. In silico drug repositioning based on the integration of chemical, genomic and pharmacological spaces.
Chen H; Zhang Z; Zhang J
BMC Bioinformatics; 2021 Feb; 22(1):52. PubMed ID: 33557749
[TBL] [Abstract][Full Text] [Related]
15. In silico drug repositioning based on integrated drug targets and canonical correlation analysis.
Chen H; Zhang Z; Zhang J
BMC Med Genomics; 2022 Mar; 15(1):48. PubMed ID: 35249529
[TBL] [Abstract][Full Text] [Related]
16. PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins.
Zhang Y; Yu S; Xie R; Li J; Leier A; Marquez-Lago TT; Akutsu T; Smith AI; Ge Z; Wang J; Lithgow T; Song J
Bioinformatics; 2020 Feb; 36(3):704-712. PubMed ID: 31393553
[TBL] [Abstract][Full Text] [Related]
17. DMAP: a connectivity map database to enable identification of novel drug repositioning candidates.
Huang H; Nguyen T; Ibrahim S; Shantharam S; Yue Z; Chen JY
BMC Bioinformatics; 2015; 16 Suppl 13(Suppl 13):S4. PubMed ID: 26423722
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration.
Hameed PN; Verspoor K; Kusljic S; Halgamuge S
BMC Bioinformatics; 2018 Apr; 19(1):129. PubMed ID: 29642848
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
