141 related articles for article (PubMed ID: 37870286)
1. 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]
2. 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]
3. Identifying the Question Similarity of Regulatory Documents in the Pharmaceutical Industry by Using the Recognizing Question Entailment System: Evaluation Study.
Saraswat N; Li C; Jiang M
JMIR AI; 2023 Sep; 2():e43483. PubMed ID: 38875534
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of GPT and BERT-based models on identifying proteinprotein interactions in biomedical text.
Rehana H; Çam NB; Basmaci M; Zheng J; Jemiyo C; He Y; Özgür A; Hur J
ArXiv; 2023 Dec; ():. PubMed ID: 38764593
[TBL] [Abstract][Full Text] [Related]
5. Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis.
Ormerod M; Martínez Del Rincón J; Devereux B
JMIR Med Inform; 2021 May; 9(5):e23099. PubMed ID: 34037527
[TBL] [Abstract][Full Text] [Related]
6. FG-BERT: a generalized and self-supervised functional group-based molecular representation learning framework for properties prediction.
Li B; Lin M; Chen T; Wang L
Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37930026
[TBL] [Abstract][Full Text] [Related]
7. Comparing Pre-trained and Feature-Based Models for Prediction of Alzheimer's Disease Based on Speech.
Balagopalan A; Eyre B; Robin J; Rudzicz F; Novikova J
Front Aging Neurosci; 2021; 13():635945. PubMed ID: 33986655
[No Abstract] [Full Text] [Related]
8. 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]
9. BERT-5mC: an interpretable model for predicting 5-methylcytosine sites of DNA based on BERT.
Wang S; Liu Y; Liu Y; Zhang Y; Zhu X
PeerJ; 2023; 11():e16600. PubMed ID: 38089911
[TBL] [Abstract][Full Text] [Related]
10. Advancing Drug-Target Interaction prediction with BERT and subsequence embedding.
Yang Z; Liu J; Yang F; Zhang X; Zhang Q; Zhu X; Jiang P
Comput Biol Chem; 2024 Jun; 110():108058. PubMed ID: 38593480
[TBL] [Abstract][Full Text] [Related]
11. Exploring the performance and explainability of fine-tuned BERT models for neuroradiology protocol assignment.
Talebi S; Tong E; Li A; Yamin G; Zaharchuk G; Mofrad MRK
BMC Med Inform Decis Mak; 2024 Feb; 24(1):40. PubMed ID: 38326769
[TBL] [Abstract][Full Text] [Related]
12. HN-PPISP: a hybrid network based on MLP-Mixer for protein-protein interaction site prediction.
Kang Y; Xu Y; Wang X; Pu B; Yang X; Rao Y; Chen J
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36403092
[TBL] [Abstract][Full Text] [Related]
13. Graph-based prediction of Protein-protein interactions with attributed signed graph embedding.
Yang F; Fan K; Song D; Lin H
BMC Bioinformatics; 2020 Jul; 21(1):323. PubMed ID: 32693790
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Fine-tuning of BERT Model to Accurately Predict Drug-Target Interactions.
Kang H; Goo S; Lee H; Chae JW; Yun HY; Jung S
Pharmaceutics; 2022 Aug; 14(8):. PubMed ID: 36015336
[TBL] [Abstract][Full Text] [Related]
16. MSTL-Kace: Prediction of Prokaryotic Lysine Acetylation Sites Based on Multistage Transfer Learning Strategy.
Wang GA; Yan X; Li X; Liu Y; Xia J; Zhu X
ACS Omega; 2023 Nov; 8(44):41930-41942. PubMed ID: 37969991
[TBL] [Abstract][Full Text] [Related]
17. Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning-Based Solution.
Gatto J; Seegmiller P; Johnston G; Preum SM
JMIR Med Inform; 2022 Sep; 10(9):e37770. PubMed ID: 35981230
[TBL] [Abstract][Full Text] [Related]
18. Transfer Learning for Sentiment Classification Using Bidirectional Encoder Representations from Transformers (BERT) Model.
Areshey A; Mathkour H
Sensors (Basel); 2023 May; 23(11):. PubMed ID: 37299959
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. AMP-BERT: Prediction of antimicrobial peptide function based on a BERT model.
Lee H; Lee S; Lee I; Nam H
Protein Sci; 2023 Jan; 32(1):e4529. PubMed ID: 36461699
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
