315 related articles for article (PubMed ID: 35020807)
1. ProteinBERT: a universal deep-learning model of protein sequence and function.
Brandes N; Ofer D; Peleg Y; Rappoport N; Linial M
Bioinformatics; 2022 Apr; 38(8):2102-2110. PubMed ID: 35020807
[TBL] [Abstract][Full Text] [Related]
2. BioBERT: a pre-trained biomedical language representation model for biomedical text mining.
Lee J; Yoon W; Kim S; Kim D; Kim S; So CH; Kang J
Bioinformatics; 2020 Feb; 36(4):1234-1240. PubMed ID: 31501885
[TBL] [Abstract][Full Text] [Related]
3. UDSMProt: universal deep sequence models for protein classification.
Strodthoff N; Wagner P; Wenzel M; Samek W
Bioinformatics; 2020 Apr; 36(8):2401-2409. PubMed ID: 31913448
[TBL] [Abstract][Full Text] [Related]
4. Deep contextualized embeddings for quantifying the informative content in biomedical text summarization.
Moradi M; Dorffner G; Samwald M
Comput Methods Programs Biomed; 2020 Feb; 184():105117. PubMed ID: 31627150
[TBL] [Abstract][Full Text] [Related]
5. Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports.
Bressem KK; Adams LC; Gaudin RA; Tröltzsch D; Hamm B; Makowski MR; Schüle CY; Vahldiek JL; Niehues SM
Bioinformatics; 2021 Jan; 36(21):5255-5261. PubMed ID: 32702106
[TBL] [Abstract][Full Text] [Related]
6. BERT2OME: Prediction of 2'-O-Methylation Modifications From RNA Sequence by Transformer Architecture Based on BERT.
Soylu NN; Sefer E
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(3):2177-2189. PubMed ID: 37819796
[TBL] [Abstract][Full Text] [Related]
7. Extracting comprehensive clinical information for breast cancer using deep learning methods.
Zhang X; Zhang Y; Zhang Q; Ren Y; Qiu T; Ma J; Sun Q
Int J Med Inform; 2019 Dec; 132():103985. PubMed ID: 31627032
[TBL] [Abstract][Full Text] [Related]
8. PFresGO: an attention mechanism-based deep-learning approach for protein annotation by integrating gene ontology inter-relationships.
Pan T; Li C; Bi Y; Wang Z; Gasser RB; Purcell AW; Akutsu T; Webb GI; Imoto S; Song J
Bioinformatics; 2023 Mar; 39(3):. PubMed ID: 36794913
[TBL] [Abstract][Full Text] [Related]
9. Predicting protein-peptide binding residues via interpretable deep learning.
Wang R; Jin J; Zou Q; Nakai K; Wei L
Bioinformatics; 2022 Jun; 38(13):3351-3360. PubMed ID: 35604077
[TBL] [Abstract][Full Text] [Related]
10. Prediction of RNA-protein interactions using a nucleotide language model.
Yamada K; Hamada M
Bioinform Adv; 2022; 2(1):vbac023. PubMed ID: 36699410
[TBL] [Abstract][Full Text] [Related]
11. Structure-aware protein self-supervised learning.
Chen CS; Zhou J; Wang F; Liu X; Dou D
Bioinformatics; 2023 Apr; 39(4):. PubMed ID: 37052532
[TBL] [Abstract][Full Text] [Related]
12. Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse.
Dligach D; Afshar M; Miller T
J Am Med Inform Assoc; 2019 Nov; 26(11):1272-1278. PubMed ID: 31233140
[TBL] [Abstract][Full Text] [Related]
13. ProteinMAE: masked autoencoder for protein surface self-supervised learning.
Yuan M; Shen A; Fu K; Guan J; Ma Y; Qiao Q; Wang M
Bioinformatics; 2023 Dec; 39(12):. PubMed ID: 38019955
[TBL] [Abstract][Full Text] [Related]
14. Deep learning-assisted prediction of protein-protein interactions in Arabidopsis thaliana.
Zheng J; Yang X; Huang Y; Yang S; Wuchty S; Zhang Z
Plant J; 2023 May; 114(4):984-994. PubMed ID: 36919205
[TBL] [Abstract][Full Text] [Related]
15. ProteinGLUE multi-task benchmark suite for self-supervised protein modeling.
Capel H; Weiler R; Dijkstra M; Vleugels R; Bloem P; Feenstra KA
Sci Rep; 2022 Sep; 12(1):16047. PubMed ID: 36163232
[TBL] [Abstract][Full Text] [Related]
16. When BERT meets Bilbo: a learning curve analysis of pretrained language model on disease classification.
Li X; Yuan W; Peng D; Mei Q; Wang Y
BMC Med Inform Decis Mak; 2022 Apr; 21(Suppl 9):377. PubMed ID: 35382811
[TBL] [Abstract][Full Text] [Related]
17. Effect of tokenization on transformers for biological sequences.
Dotan E; Jaschek G; Pupko T; Belinkov Y
Bioinformatics; 2024 Mar; 40(4):. PubMed ID: 38608190
[TBL] [Abstract][Full Text] [Related]
18. UniDL4BioPep: a universal deep learning architecture for binary classification in peptide bioactivity.
Du Z; Ding X; Xu Y; Li Y
Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37020337
[TBL] [Abstract][Full Text] [Related]
19. BERT-Kcr: prediction of lysine crotonylation sites by a transfer learning method with pre-trained BERT models.
Qiao Y; Zhu X; Gong H
Bioinformatics; 2022 Jan; 38(3):648-654. PubMed ID: 34643684
[TBL] [Abstract][Full Text] [Related]
20. Protein-protein interaction and site prediction using transfer learning.
Liu T; Gao H; Ren X; Xu G; Liu B; Wu N; Luo H; Wang Y; Tu T; Yao B; Guan F; Teng Y; Huang H; Tian J
Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37870286
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
