293 related articles for article (PubMed ID: 29668310)
1. Human Splice-Site Prediction with Deep Neural Networks.
Naito T
J Comput Biol; 2018 Aug; 25(8):954-961. PubMed ID: 29668310
[TBL] [Abstract][Full Text] [Related]
2. SpliceFinder: ab initio prediction of splice sites using convolutional neural network.
Wang R; Wang Z; Wang J; Li S
BMC Bioinformatics; 2019 Dec; 20(Suppl 23):652. PubMed ID: 31881982
[TBL] [Abstract][Full Text] [Related]
3. COSSMO: predicting competitive alternative splice site selection using deep learning.
Bretschneider H; Gandhi S; Deshwar AG; Zuberi K; Frey BJ
Bioinformatics; 2018 Jul; 34(13):i429-i437. PubMed ID: 29949959
[TBL] [Abstract][Full Text] [Related]
4. DeepDSSR: Deep Learning Structure for Human Donor Splice Sites Recognition.
Alam T; Islam MT; Househ M; Bouzerdoum A; Kawsar FA
Stud Health Technol Inform; 2019 Jul; 262():236-239. PubMed ID: 31349311
[TBL] [Abstract][Full Text] [Related]
5. Splice2Deep: An ensemble of deep convolutional neural networks for improved splice site prediction in genomic DNA.
Albaradei S; Magana-Mora A; Thafar M; Uludag M; Bajic VB; Gojobori T; Essack M; Jankovic BR
Gene; 2020 Dec; 763S():100035. PubMed ID: 34493371
[TBL] [Abstract][Full Text] [Related]
6. EnsembleSplice: ensemble deep learning model for splice site prediction.
Akpokiro V; Martin T; Oluwadare O
BMC Bioinformatics; 2022 Oct; 23(1):413. PubMed ID: 36203144
[TBL] [Abstract][Full Text] [Related]
7. DRANetSplicer: A Splice Site Prediction Model Based on Deep Residual Attention Networks.
Liu X; Zhang H; Zeng Y; Zhu X; Zhu L; Fu J
Genes (Basel); 2024 Mar; 15(4):. PubMed ID: 38674339
[TBL] [Abstract][Full Text] [Related]
8. EDeepSSP: Explainable deep neural networks for exact splice sites prediction.
Amilpur S; Bhukya R
J Bioinform Comput Biol; 2020 Aug; 18(4):2050024. PubMed ID: 32696716
[TBL] [Abstract][Full Text] [Related]
9. A computational approach for prediction of donor splice sites with improved accuracy.
Meher PK; Sahu TK; Rao AR; Wahi SD
J Theor Biol; 2016 Sep; 404():285-294. PubMed ID: 27302911
[TBL] [Abstract][Full Text] [Related]
10. An automated framework for evaluation of deep learning models for splice site predictions.
Zabardast A; Tamer EG; Son YA; Yılmaz A
Sci Rep; 2023 Jun; 13(1):10221. PubMed ID: 37353532
[TBL] [Abstract][Full Text] [Related]
11. Analysis of canonical and non-canonical splice sites in mammalian genomes.
Burset M; Seledtsov IA; Solovyev VV
Nucleic Acids Res; 2000 Nov; 28(21):4364-75. PubMed ID: 11058137
[TBL] [Abstract][Full Text] [Related]
12. Prediction of 8-state protein secondary structures by a novel deep learning architecture.
Zhang B; Li J; Lü Q
BMC Bioinformatics; 2018 Aug; 19(1):293. PubMed ID: 30075707
[TBL] [Abstract][Full Text] [Related]
13. Evaluating the performance of sequence encoding schemes and machine learning methods for splice sites recognition.
Meher PK; Sahu TK; Gahoi S; Satpathy S; Rao AR
Gene; 2019 Jul; 705():113-126. PubMed ID: 31009682
[TBL] [Abstract][Full Text] [Related]
14. SpliceViNCI: Visualizing the splicing of non-canonical introns through recurrent neural networks.
Dutta A; Singh KK; Anand A
J Bioinform Comput Biol; 2021 Aug; 19(4):2150014. PubMed ID: 34088258
[TBL] [Abstract][Full Text] [Related]
15. High-accuracy splice site prediction based on sequence component and position features.
Li JL; Wang LF; Wang HY; Bai LY; Yuan ZM
Genet Mol Res; 2012 Sep; 11(3):3432-51. PubMed ID: 23079837
[TBL] [Abstract][Full Text] [Related]
16. A statistical approach for 5' splice site prediction using short sequence motifs and without encoding sequence data.
Meher PK; Sahu TK; Rao AR; Wahi SD
BMC Bioinformatics; 2014 Nov; 15():362. PubMed ID: 25420551
[TBL] [Abstract][Full Text] [Related]
17. SpliceRover: interpretable convolutional neural networks for improved splice site prediction.
Zuallaert J; Godin F; Kim M; Soete A; Saeys Y; De Neve W
Bioinformatics; 2018 Dec; 34(24):4180-4188. PubMed ID: 29931149
[TBL] [Abstract][Full Text] [Related]
18. Predicting the effect of variants on splicing using Convolutional Neural Networks.
Thanapattheerakul T; Engchuan W; Chan JH
PeerJ; 2020; 8():e9470. PubMed ID: 32704450
[TBL] [Abstract][Full Text] [Related]
19. A high-performance approach for predicting donor splice sites based on short window size and imbalanced large samples.
Zeng Y; Yuan H; Yuan Z; Chen Y
Biol Direct; 2019 Apr; 14(1):6. PubMed ID: 30975175
[TBL] [Abstract][Full Text] [Related]
20. Using the Chou's 5-steps rule to predict splice junctions with interpretable bidirectional long short-term memory networks.
Dutta A; Dalmia A; R A; Singh KK; Anand A
Comput Biol Med; 2020 Jan; 116():103558. PubMed ID: 31783254
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
