150 related articles for article (PubMed ID: 32657408)
1. Network-based characterization of disease-disease relationships in terms of drugs and therapeutic targets.
Iida M; Iwata M; Yamanishi Y
Bioinformatics; 2020 Jul; 36(Suppl_1):i516-i524. PubMed ID: 32657408
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Integration of molecular network data reconstructs Gene Ontology.
Gligorijević V; Janjić V; Pržulj N
Bioinformatics; 2014 Sep; 30(17):i594-600. PubMed ID: 25161252
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Hypergraph-based logistic matrix factorization for metabolite-disease interaction prediction.
Ma Y; Ma Y
Bioinformatics; 2022 Jan; 38(2):435-443. PubMed ID: 34499104
[TBL] [Abstract][Full Text] [Related]
6. Integrating multi-scale neighbouring topologies and cross-modal similarities for drug-protein interaction prediction.
Xuan P; Zhang Y; Cui H; Zhang T; Guo M; Nakaguchi T
Brief Bioinform; 2021 Sep; 22(5):. PubMed ID: 33839743
[TBL] [Abstract][Full Text] [Related]
7. CaNDis: a web server for investigation of causal relationships between diseases, drugs and drug targets.
Škrlj B; Eržen N; Lavrač N; Kunej T; Konc J
Bioinformatics; 2021 May; 37(6):885-887. PubMed ID: 32871004
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association prediction.
Zhang H; Cui H; Zhang T; Cao Y; Xuan P
Brief Bioinform; 2022 Mar; 23(2):. PubMed ID: 35136910
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Gene gravity-like algorithm for disease gene prediction based on phenotype-specific network.
Lin L; Yang T; Fang L; Yang J; Yang F; Zhao J
BMC Syst Biol; 2017 Dec; 11(1):121. PubMed ID: 29212543
[TBL] [Abstract][Full Text] [Related]
13. Network-based ranking methods for prediction of novel disease associated microRNAs.
Le DH
Comput Biol Chem; 2015 Oct; 58():139-48. PubMed ID: 26231308
[TBL] [Abstract][Full Text] [Related]
14. Integrating multiple protein-protein interaction networks to prioritize disease genes: a Bayesian regression approach.
Zhang W; Sun F; Jiang R
BMC Bioinformatics; 2011 Feb; 12 Suppl 1(Suppl 1):S11. PubMed ID: 21342540
[TBL] [Abstract][Full Text] [Related]
15. Link Prediction Only With Interaction Data and its Application on Drug Repositioning.
Liu J; Zuo Z; Wu G
IEEE Trans Nanobioscience; 2020 Jul; 19(3):547-555. PubMed ID: 32340956
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Integrating Biological Networks for Drug Target Prediction and Prioritization.
Ji X; Freudenberg JM; Agarwal P
Methods Mol Biol; 2019; 1903():203-218. PubMed ID: 30547444
[TBL] [Abstract][Full Text] [Related]
18. Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases.
Scherer P; Trębacz M; Simidjievski N; Viñas R; Shams Z; Terre HA; Jamnik M; Liò P
Bioinformatics; 2022 Feb; 38(5):1320-1327. PubMed ID: 34888618
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Random walk with restart on multiplex and heterogeneous biological networks.
Valdeolivas A; Tichit L; Navarro C; Perrin S; Odelin G; Levy N; Cau P; Remy E; Baudot A
Bioinformatics; 2019 Feb; 35(3):497-505. PubMed ID: 30020411
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]