140 related articles for article (PubMed ID: 28516319)
1. Quantitative prediction of drug side effects based on drug-related features.
Niu Y; Zhang W
Interdiscip Sci; 2017 Sep; 9(3):434-444. PubMed ID: 28516319
[TBL] [Abstract][Full Text] [Related]
2. Predicting drug side effects by multi-label learning and ensemble learning.
Zhang W; Liu F; Luo L; Zhang J
BMC Bioinformatics; 2015 Nov; 16():365. PubMed ID: 26537615
[TBL] [Abstract][Full Text] [Related]
3. Computational models for the prediction of adverse cardiovascular drug reactions.
Jamal S; Ali W; Nagpal P; Grover S; Grover A
J Transl Med; 2019 May; 17(1):171. PubMed ID: 31118067
[TBL] [Abstract][Full Text] [Related]
4. Inverse similarity and reliable negative samples for drug side-effect prediction.
Zheng Y; Peng H; Ghosh S; Lan C; Li J
BMC Bioinformatics; 2019 Feb; 19(Suppl 13):554. PubMed ID: 30717666
[TBL] [Abstract][Full Text] [Related]
5. Manifold regularized matrix factorization for drug-drug interaction prediction.
Zhang W; Chen Y; Li D; Yue X
J Biomed Inform; 2018 Dec; 88():90-97. PubMed ID: 30445219
[TBL] [Abstract][Full Text] [Related]
6. Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data.
Zhang W; Chen Y; Liu F; Luo F; Tian G; Li X
BMC Bioinformatics; 2017 Jan; 18(1):18. PubMed ID: 28056782
[TBL] [Abstract][Full Text] [Related]
7. Prediction of Central Nervous System Side Effects Through Drug Permeability to Blood-Brain Barrier and Recommendation Algorithm.
Fan J; Yang J; Jiang Z
J Comput Biol; 2018 Apr; 25(4):435-443. PubMed ID: 29058464
[TBL] [Abstract][Full Text] [Related]
8. Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning.
Ding Y; Tang J; Guo F
IEEE J Biomed Health Inform; 2019 Nov; 23(6):2619-2632. PubMed ID: 30507518
[TBL] [Abstract][Full Text] [Related]
9. Accurate prediction of immunogenic T-cell epitopes from epitope sequences using the genetic algorithm-based ensemble learning.
Zhang W; Niu Y; Zou H; Luo L; Liu Q; Wu W
PLoS One; 2015; 10(5):e0128194. PubMed ID: 26020952
[TBL] [Abstract][Full Text] [Related]
10. Inferring Drug-Related Diseases Based on Convolutional Neural Network and Gated Recurrent Unit.
Xuan P; Zhao L; Zhang T; Ye Y; Zhang Y
Molecules; 2019 Jul; 24(15):. PubMed ID: 31349692
[TBL] [Abstract][Full Text] [Related]
11. Drug-target interaction prediction using ensemble learning and dimensionality reduction.
Ezzat A; Wu M; Li XL; Kwoh CK
Methods; 2017 Oct; 129():81-88. PubMed ID: 28549952
[TBL] [Abstract][Full Text] [Related]
12. Prediction of polypharmacological profiles of drugs by the integration of chemical, side effect, and therapeutic space.
Cheng F; Li W; Wu Z; Wang X; Zhang C; Li J; Liu G; Tang Y
J Chem Inf Model; 2013 Apr; 53(4):753-62. PubMed ID: 23527559
[TBL] [Abstract][Full Text] [Related]
13. Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs.
Liu M; Wu Y; Chen Y; Sun J; Zhao Z; Chen XW; Matheny ME; Xu H
J Am Med Inform Assoc; 2012 Jun; 19(e1):e28-35. PubMed ID: 22718037
[TBL] [Abstract][Full Text] [Related]
14. Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models.
Muñoz E; Novácek V; Vandenbussche PY
Brief Bioinform; 2019 Jan; 20(1):190-202. PubMed ID: 28968655
[TBL] [Abstract][Full Text] [Related]
15. A unified frame of predicting side effects of drugs by using linear neighborhood similarity.
Zhang W; Yue X; Liu F; Chen Y; Tu S; Zhang X
BMC Syst Biol; 2017 Dec; 11(Suppl 6):101. PubMed ID: 29297371
[TBL] [Abstract][Full Text] [Related]
16. An algorithmic framework for predicting side effects of drugs.
Atias N; Sharan R
J Comput Biol; 2011 Mar; 18(3):207-18. PubMed ID: 21385029
[TBL] [Abstract][Full Text] [Related]
17. A novel graph attention model for predicting frequencies of drug-side effects from multi-view data.
Zhao H; Zheng K; Li Y; Wang J
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34213525
[TBL] [Abstract][Full Text] [Related]
18. Phenotypic side effects prediction by optimizing correlation with chemical and target profiles of drugs.
Kanji R; Sharma A; Bagler G
Mol Biosyst; 2015 Nov; 11(11):2900-6. PubMed ID: 26252576
[TBL] [Abstract][Full Text] [Related]
19. Predicting Drug-Target Interactions Based on the Ensemble Models of Multiple Feature Pairs.
Wang C; Zhang J; Chen P; Wang B
Int J Mol Sci; 2021 Jun; 22(12):. PubMed ID: 34202954
[TBL] [Abstract][Full Text] [Related]
20. DSEP: A Tool Implementing Novel Method to Predict Side Effects of Drugs.
Niu SY; Xin MY; Luo J; Liu MY; Jiang ZR
J Comput Biol; 2015 Dec; 22(12):1108-17. PubMed ID: 26484391
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
