250 related articles for article (PubMed ID: 32251507)
1. Learning transferable deep convolutional neural networks for the classification of bacterial virulence factors.
Zheng D; Pang G; Liu B; Chen L; Yang J
Bioinformatics; 2020 Jun; 36(12):3693-3702. PubMed ID: 32251507
[TBL] [Abstract][Full Text] [Related]
2. DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy.
Xie R; Li J; Wang J; Dai W; Leier A; Marquez-Lago TT; Akutsu T; Lithgow T; Song J; Zhang Y
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32599617
[TBL] [Abstract][Full Text] [Related]
3. A deep learning method to predict bacterial ADP-ribosyltransferase toxins.
Zheng D; Zhou S; Chen L; Pang G; Yang J
Bioinformatics; 2024 Jun; ():. PubMed ID: 38885365
[TBL] [Abstract][Full Text] [Related]
4. PlasGUN: gene prediction in plasmid metagenomic short reads using deep learning.
Fang Z; Tan J; Wu S; Li M; Wang C; Liu Y; Zhu H
Bioinformatics; 2020 May; 36(10):3239-3241. PubMed ID: 32091572
[TBL] [Abstract][Full Text] [Related]
5. Dataset-aware multi-task learning approaches for biomedical named entity recognition.
Zuo M; Zhang Y
Bioinformatics; 2020 Aug; 36(15):4331-4338. PubMed ID: 32415963
[TBL] [Abstract][Full Text] [Related]
6. Chromatin accessibility prediction via convolutional long short-term memory networks with k-mer embedding.
Min X; Zeng W; Chen N; Chen T; Jiang R
Bioinformatics; 2017 Jul; 33(14):i92-i101. PubMed ID: 28881969
[TBL] [Abstract][Full Text] [Related]
7. DeepPhos: prediction of protein phosphorylation sites with deep learning.
Luo F; Wang M; Liu Y; Zhao XM; Li A
Bioinformatics; 2019 Aug; 35(16):2766-2773. PubMed ID: 30601936
[TBL] [Abstract][Full Text] [Related]
8. DeepT3: deep convolutional neural networks accurately identify Gram-negative bacterial type III secreted effectors using the N-terminal sequence.
Xue L; Tang B; Chen W; Luo J
Bioinformatics; 2019 Jun; 35(12):2051-2057. PubMed ID: 30407530
[TBL] [Abstract][Full Text] [Related]
9. Transfer learning for biomedical named entity recognition with neural networks.
Giorgi JM; Bader GD
Bioinformatics; 2018 Dec; 34(23):4087-4094. PubMed ID: 29868832
[TBL] [Abstract][Full Text] [Related]
10. DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks.
Savojardo C; Bruciaferri N; Tartari G; Martelli PL; Casadio R
Bioinformatics; 2020 Jan; 36(1):56-64. PubMed ID: 31218353
[TBL] [Abstract][Full Text] [Related]
11. Protein-protein interaction site prediction through combining local and global features with deep neural networks.
Zeng M; Zhang F; Wu FX; Li Y; Wang J; Li M
Bioinformatics; 2020 Feb; 36(4):1114-1120. PubMed ID: 31593229
[TBL] [Abstract][Full Text] [Related]
12. A deep learning architecture for metabolic pathway prediction.
Baranwal M; Magner A; Elvati P; Saldinger J; Violi A; Hero AO
Bioinformatics; 2020 Apr; 36(8):2547-2553. PubMed ID: 31879763
[TBL] [Abstract][Full Text] [Related]
13. Biological sequence modeling with convolutional kernel networks.
Chen D; Jacob L; Mairal J
Bioinformatics; 2019 Sep; 35(18):3294-3302. PubMed ID: 30753280
[TBL] [Abstract][Full Text] [Related]
14. An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network.
Wang L; You ZH; Huang YA; Huang DS; Chan KCC
Bioinformatics; 2020 Jul; 36(13):4038-4046. PubMed ID: 31793982
[TBL] [Abstract][Full Text] [Related]
15. Cross-type biomedical named entity recognition with deep multi-task learning.
Wang X; Zhang Y; Ren X; Zhang Y; Zitnik M; Shang J; Langlotz C; Han J
Bioinformatics; 2019 May; 35(10):1745-1752. PubMed ID: 30307536
[TBL] [Abstract][Full Text] [Related]
16. Convolutional Neural Networks for ATC Classification.
Lumini A; Nanni L
Curr Pharm Des; 2018; 24(34):4007-4012. PubMed ID: 30417778
[TBL] [Abstract][Full Text] [Related]
17. Deep convolutional networks for quality assessment of protein folds.
Derevyanko G; Grudinin S; Bengio Y; Lamoureux G
Bioinformatics; 2018 Dec; 34(23):4046-4053. PubMed ID: 29931128
[TBL] [Abstract][Full Text] [Related]
18. Prediction of mutation effects using a deep temporal convolutional network.
Kim HY; Kim D
Bioinformatics; 2020 Apr; 36(7):2047-2052. PubMed ID: 31746978
[TBL] [Abstract][Full Text] [Related]
19. GRAM-CNN: a deep learning approach with local context for named entity recognition in biomedical text.
Zhu Q; Li X; Conesa A; Pereira C
Bioinformatics; 2018 May; 34(9):1547-1554. PubMed ID: 29272325
[TBL] [Abstract][Full Text] [Related]
20. Chromatin accessibility prediction via a hybrid deep convolutional neural network.
Liu Q; Xia F; Yin Q; Jiang R
Bioinformatics; 2018 Mar; 34(5):732-738. PubMed ID: 29069282
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]