188 related articles for article (PubMed ID: 36645245)
1. SLGNN: synthetic lethality prediction in human cancers based on factor-aware knowledge graph neural network.
Zhu Y; Zhou Y; Liu Y; Wang X; Li J
Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36645245
[TBL] [Abstract][Full Text] [Related]
2. KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers.
Wang S; Xu F; Li Y; Wang J; Zhang K; Liu Y; Wu M; Zheng J
Bioinformatics; 2021 Jul; 37(Suppl_1):i418-i425. PubMed ID: 34252965
[TBL] [Abstract][Full Text] [Related]
3. PiLSL: pairwise interaction learning-based graph neural network for synthetic lethality prediction in human cancers.
Liu X; Yu J; Tao S; Yang B; Wang S; Wang L; Bai F; Zheng J
Bioinformatics; 2022 Sep; 38(Suppl_2):ii106-ii112. PubMed ID: 36124788
[TBL] [Abstract][Full Text] [Related]
4. KR4SL: knowledge graph reasoning for explainable prediction of synthetic lethality.
Zhang K; Wu M; Liu Y; Feng Y; Zheng J
Bioinformatics; 2023 Jun; 39(39 Suppl 1):i158-i167. PubMed ID: 37387166
[TBL] [Abstract][Full Text] [Related]
5. Graph contextualized attention network for predicting synthetic lethality in human cancers.
Long Y; Wu M; Liu Y; Zheng J; Kwoh CK; Luo J; Li X
Bioinformatics; 2021 Aug; 37(16):2432-2440. PubMed ID: 33609108
[TBL] [Abstract][Full Text] [Related]
6. Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network.
Lai M; Chen G; Yang H; Yang J; Jiang Z; Wu M; Zheng J
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():1731-1734. PubMed ID: 34891621
[TBL] [Abstract][Full Text] [Related]
7. Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers.
Cai R; Chen X; Fang Y; Wu M; Hao Y
Bioinformatics; 2020 Aug; 36(16):4458-4465. PubMed ID: 32221609
[TBL] [Abstract][Full Text] [Related]
8. Overcoming selection bias in synthetic lethality prediction.
Seale C; Tepeli Y; Gonçalves JP
Bioinformatics; 2022 Sep; 38(18):4360-4368. PubMed ID: 35876858
[TBL] [Abstract][Full Text] [Related]
9. Pre-training graph neural networks for link prediction in biomedical networks.
Long Y; Wu M; Liu Y; Fang Y; Kwoh CK; Chen J; Luo J; Li X
Bioinformatics; 2022 Apr; 38(8):2254-2262. PubMed ID: 35171981
[TBL] [Abstract][Full Text] [Related]
10. NSF4SL: negative-sample-free contrastive learning for ranking synthetic lethal partner genes in human cancers.
Wang S; Feng Y; Liu X; Liu Y; Wu M; Zheng J
Bioinformatics; 2022 Sep; 38(Suppl_2):ii13-ii19. PubMed ID: 36124790
[TBL] [Abstract][Full Text] [Related]
11. MPASL: multi-perspective learning knowledge graph attention network for synthetic lethality prediction in human cancer.
Zhang G; Chen Y; Yan C; Wang J; Liang W; Luo J; Luo H
Front Pharmacol; 2024; 15():1398231. PubMed ID: 38835667
[TBL] [Abstract][Full Text] [Related]
12. Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorization.
Huang J; Wu M; Lu F; Ou-Yang L; Zhu Z
BMC Bioinformatics; 2019 Dec; 20(Suppl 19):657. PubMed ID: 31870274
[TBL] [Abstract][Full Text] [Related]
13. Multi-view graph convolutional network for cancer cell-specific synthetic lethality prediction.
Fan K; Tang S; Gökbağ B; Cheng L; Li L
Front Genet; 2022; 13():1103092. PubMed ID: 36699450
[TBL] [Abstract][Full Text] [Related]
14. Computational methods, databases and tools for synthetic lethality prediction.
Wang J; Zhang Q; Han J; Zhao Y; Zhao C; Yan B; Dai C; Wu L; Wen Y; Zhang Y; Leng D; Wang Z; Yang X; He S; Bo X
Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35352098
[TBL] [Abstract][Full Text] [Related]
15. SynLethDB 2.0: a web-based knowledge graph database on synthetic lethality for novel anticancer drug discovery.
Wang J; Wu M; Huang X; Wang L; Zhang S; Liu H; Zheng J
Database (Oxford); 2022 May; 2022():. PubMed ID: 35562840
[TBL] [Abstract][Full Text] [Related]
16. Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder.
Hao Z; Wu D; Fang Y; Wu M; Cai R; Li X
IEEE J Biomed Health Inform; 2021 Oct; 25(10):4041-4051. PubMed ID: 33974548
[TBL] [Abstract][Full Text] [Related]
17. Using graph-based model to identify cell specific synthetic lethal effects.
Pu M; Cheng K; Li X; Xin Y; Wei L; Jin S; Zheng W; Peng G; Tang Q; Zhou J; Zhang Y
Comput Struct Biotechnol J; 2023; 21():5099-5110. PubMed ID: 37920819
[TBL] [Abstract][Full Text] [Related]
18. Link synthetic lethality to drug sensitivity of cancer cells.
Wang R; Han Y; Zhao Z; Yang F; Chen T; Zhou W; Wang X; Qi L; Zhao W; Guo Z; Gu Y
Brief Bioinform; 2019 Jul; 20(4):1295-1307. PubMed ID: 29300844
[TBL] [Abstract][Full Text] [Related]
19. SL-Miner: a web server for mining evidence and prioritization of cancer-specific synthetic lethality.
Liu X; Hu J; Zheng J
Bioinformatics; 2024 Feb; 40(2):. PubMed ID: 38244572
[TBL] [Abstract][Full Text] [Related]
20. ELISL: early-late integrated synthetic lethality prediction in cancer.
Tepeli YI; Seale C; Gonçalves JP
Bioinformatics; 2024 Jan; 40(1):. PubMed ID: 38113447
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
