147 related articles for article (PubMed ID: 37380395)
1. [SMILESynergy: Anticancer drug synergy prediction based on Transformer pre-trained model].
Zhang L; Qin Y; Chen M
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Jun; 40(3):544-551. PubMed ID: 37380395
[TBL] [Abstract][Full Text] [Related]
2. [Synergistic drug combination prediction in multi-input neural network].
Chen X; Qin Y; Chen M; Zhang C
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2020 Aug; 37(4):676-682. PubMed ID: 32840085
[TBL] [Abstract][Full Text] [Related]
3. Predicting anticancer synergistic drug combinations based on multi-task learning.
Chen D; Wang X; Zhu H; Jiang Y; Li Y; Liu Q; Liu Q
BMC Bioinformatics; 2023 Nov; 24(1):448. PubMed ID: 38012551
[TBL] [Abstract][Full Text] [Related]
4. DeepSynergy: predicting anti-cancer drug synergy with Deep Learning.
Preuer K; Lewis RPI; Hochreiter S; Bender A; Bulusu KC; Klambauer G
Bioinformatics; 2018 May; 34(9):1538-1546. PubMed ID: 29253077
[TBL] [Abstract][Full Text] [Related]
5. Anticancer drug synergy prediction in understudied tissues using transfer learning.
Kim Y; Zheng S; Tang J; Jim Zheng W; Li Z; Jiang X
J Am Med Inform Assoc; 2021 Jan; 28(1):42-51. PubMed ID: 33040150
[TBL] [Abstract][Full Text] [Related]
6. Smartphone Sensor-Based Human Motion Characterization with Neural Stochastic Differential Equations and Transformer Model.
Lee J; Kim T; Park J; Park J
Sensors (Basel); 2022 Oct; 22(19):. PubMed ID: 36236580
[TBL] [Abstract][Full Text] [Related]
7. INTransformer: Data augmentation-based contrastive learning by injecting noise into transformer for molecular property prediction.
Jiang J; Li Y; Zhang R; Liu Y
J Mol Graph Model; 2024 May; 128():108703. PubMed ID: 38228013
[TBL] [Abstract][Full Text] [Related]
8. DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and Transformer.
Shin J; Piao Y; Bang D; Kim S; Jo K
Int J Mol Sci; 2022 Nov; 23(22):. PubMed ID: 36430395
[TBL] [Abstract][Full Text] [Related]
9. DTSyn: a dual-transformer-based neural network to predict synergistic drug combinations.
Hu J; Gao J; Fang X; Liu Z; Wang F; Huang W; Wu H; Zhao G
Brief Bioinform; 2022 Sep; 23(5):. PubMed ID: 35915050
[TBL] [Abstract][Full Text] [Related]
10. Trustworthy Deep Neural Network for Inferring Anticancer Synergistic Combinations.
Alsherbiny MA; Radwan I; Moustafa N; Bhuyan DJ; El-Waisi M; Chang D; Li CG
IEEE J Biomed Health Inform; 2023 Apr; 27(4):1691-1700. PubMed ID: 34752413
[TBL] [Abstract][Full Text] [Related]
11. Transformer-Based Semantic Segmentation for Extraction of Building Footprints from Very-High-Resolution Images.
Song J; Zhu AX; Zhu Y
Sensors (Basel); 2023 May; 23(11):. PubMed ID: 37299892
[TBL] [Abstract][Full Text] [Related]
12. Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios.
Jaume-Santero F; Bornet A; Valery A; Naderi N; Vicente Alvarez D; Proios D; Yazdani A; Bournez C; Fessard T; Teodoro D
J Chem Inf Model; 2023 Apr; 63(7):1914-1924. PubMed ID: 36952584
[TBL] [Abstract][Full Text] [Related]
13. DTF: Deep Tensor Factorization for predicting anticancer drug synergy.
Sun Z; Huang S; Jiang P; Hu P
Bioinformatics; 2020 Aug; 36(16):4483-4489. PubMed ID: 32369563
[TBL] [Abstract][Full Text] [Related]
14. Predicting Drug Synergy and Discovering New Drug Combinations Based on a Graph Autoencoder and Convolutional Neural Network.
Li H; Zou L; Kowah JAH; He D; Wang L; Yuan M; Liu X
Interdiscip Sci; 2023 Jun; 15(2):316-330. PubMed ID: 36943614
[TBL] [Abstract][Full Text] [Related]
15. DEML: Drug Synergy and Interaction Prediction Using Ensemble-Based Multi-Task Learning.
Wang Z; Dong J; Wu L; Dai C; Wang J; Wen Y; Zhang Y; Yang X; He S; Bo X
Molecules; 2023 Jan; 28(2):. PubMed ID: 36677903
[TBL] [Abstract][Full Text] [Related]
16. GPDRP: a multimodal framework for drug response prediction with graph transformer.
Yang Y; Li P
BMC Bioinformatics; 2023 Dec; 24(1):484. PubMed ID: 38105227
[TBL] [Abstract][Full Text] [Related]
17. SYNPRED: prediction of drug combination effects in cancer using different synergy metrics and ensemble learning.
Preto AJ; Matos-Filipe P; Mourão J; Moreira IS
Gigascience; 2022 Sep; 11():. PubMed ID: 36155782
[TBL] [Abstract][Full Text] [Related]
18. TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations.
Liu Q; Xie L
PLoS Comput Biol; 2021 Feb; 17(2):e1008653. PubMed ID: 33577560
[TBL] [Abstract][Full Text] [Related]
19. GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction.
Yang J; Xu Z; Wu WKK; Chu Q; Zhang Q
J Am Med Inform Assoc; 2021 Oct; 28(11):2336-2345. PubMed ID: 34472609
[TBL] [Abstract][Full Text] [Related]
20. DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations.
Wang J; Liu X; Shen S; Deng L; Liu H
Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34571537
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
