405 related articles for article (PubMed ID: 32920048)
1. iDRBP_MMC: Identifying DNA-Binding Proteins and RNA-Binding Proteins Based on Multi-Label Learning Model and Motif-Based Convolutional Neural Network.
Zhang J; Chen Q; Liu B
J Mol Biol; 2020 Nov; 432(22):5860-5875. PubMed ID: 32920048
[TBL] [Abstract][Full Text] [Related]
2. iDRBP-EL: Identifying DNA- and RNA- Binding Proteins Based on Hierarchical Ensemble Learning.
Wang N; Zhang J; Liu B
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):432-441. PubMed ID: 34932484
[TBL] [Abstract][Full Text] [Related]
3. iDRBP-ECHF: Identifying DNA- and RNA-binding proteins based on extensible cubic hybrid framework.
Feng J; Wang N; Zhang J; Liu B
Comput Biol Med; 2022 Oct; 149():105940. PubMed ID: 36044786
[TBL] [Abstract][Full Text] [Related]
4. DeepDRBP-2L: A New Genome Annotation Predictor for Identifying DNA-Binding Proteins and RNA-Binding Proteins Using Convolutional Neural Network and Long Short-Term Memory.
Zhang J; Chen Q; Liu B
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(4):1451-1463. PubMed ID: 31722485
[TBL] [Abstract][Full Text] [Related]
5. IDRBP-PPCT: Identifying Nucleic Acid-Binding Proteins Based on Position-Specific Score Matrix and Position-Specific Frequency Matrix Cross Transformation.
Wang N; Zhang J; Liu B
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(4):2284-2293. PubMed ID: 33780341
[TBL] [Abstract][Full Text] [Related]
6. Improved prediction of DNA and RNA binding proteins with deep learning models.
Wu S; Guo JT
Brief Bioinform; 2024 May; 25(4):. PubMed ID: 38856168
[TBL] [Abstract][Full Text] [Related]
7. RNA-binding protein recognition based on multi-view deep feature and multi-label learning.
Yang H; Deng Z; Pan X; Shen HB; Choi KS; Wang L; Wang S; Wu J
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32808039
[TBL] [Abstract][Full Text] [Related]
8. RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach.
Pan X; Shen HB
BMC Bioinformatics; 2017 Feb; 18(1):136. PubMed ID: 28245811
[TBL] [Abstract][Full Text] [Related]
9. Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks.
Pan X; Rijnbeek P; Yan J; Shen HB
BMC Genomics; 2018 Jul; 19(1):511. PubMed ID: 29970003
[TBL] [Abstract][Full Text] [Related]
10. Prediction of the RBP binding sites on lncRNAs using the high-order nucleotide encoding convolutional neural network.
Zhang SW; Wang Y; Zhang XX; Wang JQ
Anal Biochem; 2019 Oct; 583():113364. PubMed ID: 31323206
[TBL] [Abstract][Full Text] [Related]
11. CRIP: predicting circRNA-RBP-binding sites using a codon-based encoding and hybrid deep neural networks.
Zhang K; Pan X; Yang Y; Shen HB
RNA; 2019 Dec; 25(12):1604-1615. PubMed ID: 31537716
[TBL] [Abstract][Full Text] [Related]
12. DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins.
Hosen MF; Mahmud SMH; Ahmed K; Chen W; Moni MA; Deng HW; Shoombuatong W; Hasan MM
Comput Biol Med; 2022 Jun; 145():105433. PubMed ID: 35378437
[TBL] [Abstract][Full Text] [Related]
13. Prediction of binding property of RNA-binding proteins using multi-sized filters and multi-modal deep convolutional neural network.
Chung T; Kim D
PLoS One; 2019; 14(4):e0216257. PubMed ID: 31026297
[TBL] [Abstract][Full Text] [Related]
14. PredDRBP-MLP: Prediction of DNA-binding proteins and RNA-binding proteins by multilayer perceptron.
Arican OC; Gumus O
Comput Biol Med; 2023 Sep; 164():107317. PubMed ID: 37562328
[TBL] [Abstract][Full Text] [Related]
15. DeepPN: a deep parallel neural network based on convolutional neural network and graph convolutional network for predicting RNA-protein binding sites.
Zhang J; Liu B; Wang Z; Lehnert K; Gahegan M
BMC Bioinformatics; 2022 Jun; 23(1):257. PubMed ID: 35768792
[TBL] [Abstract][Full Text] [Related]
16. econvRBP: Improved ensemble convolutional neural networks for RNA binding protein prediction directly from sequence.
Zhao Y; Du X
Methods; 2020 Oct; 181-182():15-23. PubMed ID: 31513916
[TBL] [Abstract][Full Text] [Related]
17. Deep-RBPPred: Predicting RNA binding proteins in the proteome scale based on deep learning.
Zheng J; Zhang X; Zhao X; Tong X; Hong X; Xie J; Liu S
Sci Rep; 2018 Oct; 8(1):15264. PubMed ID: 30323214
[TBL] [Abstract][Full Text] [Related]
18. Deep neural networks for inferring binding sites of RNA-binding proteins by using distributed representations of RNA primary sequence and secondary structure.
Deng L; Liu Y; Shi Y; Zhang W; Yang C; Liu H
BMC Genomics; 2020 Dec; 21(Suppl 13):866. PubMed ID: 33334313
[TBL] [Abstract][Full Text] [Related]
19. Integrating thermodynamic and sequence contexts improves protein-RNA binding prediction.
Su Y; Luo Y; Zhao X; Liu Y; Peng J
PLoS Comput Biol; 2019 Sep; 15(9):e1007283. PubMed ID: 31483777
[TBL] [Abstract][Full Text] [Related]
20. PreRBP-TL: prediction of species-specific RNA-binding proteins based on transfer learning.
Zhang J; Yan K; Chen Q; Liu B
Bioinformatics; 2022 Apr; 38(8):2135-2143. PubMed ID: 35176130
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]