105 related articles for article (PubMed ID: 34864881)
1. 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]
2. 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]
3. 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]
4. A network-based drug repurposing method via non-negative matrix factorization.
Sadeghi S; Lu J; Ngom A
Bioinformatics; 2022 Feb; 38(5):1369-1377. PubMed ID: 34875000
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
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. Heterogeneous graph inference with matrix completion for computational drug repositioning.
Yang M; Huang L; Xu Y; Lu C; Wang J
Bioinformatics; 2021 Apr; 36(22-23):5456-5464. PubMed ID: 33331887
[TBL] [Abstract][Full Text] [Related]
10. Computational drug repositioning based on multi-similarities bilinear matrix factorization.
Yang M; Wu G; Zhao Q; Li Y; Wang J
Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33147616
[TBL] [Abstract][Full Text] [Related]
11. GREP: genome for REPositioning drugs.
Sakaue S; Okada Y
Bioinformatics; 2019 Oct; 35(19):3821-3823. PubMed ID: 30859178
[TBL] [Abstract][Full Text] [Related]
12. A Bayesian approach to accurate and robust signature detection on LINCS L1000 data.
Qiu Y; Lu T; Lim H; Xie L
Bioinformatics; 2020 May; 36(9):2787-2795. PubMed ID: 32003771
[TBL] [Abstract][Full Text] [Related]
13. LRSSL: predict and interpret drug-disease associations based on data integration using sparse subspace learning.
Liang X; Zhang P; Yan L; Fu Y; Peng F; Qu L; Shao M; Chen Y; Chen Z
Bioinformatics; 2017 Apr; 33(8):1187-1196. PubMed ID: 28096083
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Design and application of a knowledge network for automatic prioritization of drug mechanisms.
Mayers M; Tu R; Steinecke D; Li TS; Queralt-Rosinach N; Su AI
Bioinformatics; 2022 May; 38(10):2880-2891. PubMed ID: 35561182
[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. Prediction of drug-disease associations based on ensemble meta paths and singular value decomposition.
Wu G; Liu J; Yue X
BMC Bioinformatics; 2019 Mar; 20(Suppl 3):134. PubMed ID: 30925858
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. A new computational drug repurposing method using established disease-drug pair knowledge.
Saberian N; Peyvandipour A; Donato M; Ansari S; Draghici S
Bioinformatics; 2019 Oct; 35(19):3672-3678. PubMed ID: 30840053
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]