175 related articles for article (PubMed ID: 37450964)
1. GR-m6A: Prediction of N6-methyladenosine sites in mammals with molecular graph and residual network.
Qiu S; Liu R; Liang Y
Comput Biol Med; 2023 Sep; 163():107202. PubMed ID: 37450964
[TBL] [Abstract][Full Text] [Related]
2. DNN-m6A: A Cross-Species Method for Identifying RNA N6-Methyladenosine Sites Based on Deep Neural Network with Multi-Information Fusion.
Zhang L; Qin X; Liu M; Xu Z; Liu G
Genes (Basel); 2021 Feb; 12(3):. PubMed ID: 33670877
[TBL] [Abstract][Full Text] [Related]
3. ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine Sites.
Fan Y; Sun G; Pan X
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(2):944-954. PubMed ID: 35536814
[TBL] [Abstract][Full Text] [Related]
4. DL-m6A: Identification of N6-Methyladenosine Sites in Mammals Using Deep Learning Based on Different Encoding Schemes.
Rehman MU; Tayara H; Chong KT
IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(2):904-911. PubMed ID: 35857733
[TBL] [Abstract][Full Text] [Related]
5. MGF6mARice: prediction of DNA N6-methyladenine sites in rice by exploiting molecular graph feature and residual block.
Liu M; Sun ZL; Zeng Z; Lam KM
Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35325050
[TBL] [Abstract][Full Text] [Related]
6. DeepM6ASeq: prediction and characterization of m6A-containing sequences using deep learning.
Zhang Y; Hamada M
BMC Bioinformatics; 2018 Dec; 19(Suppl 19):524. PubMed ID: 30598068
[TBL] [Abstract][Full Text] [Related]
7. Computational identification of N6-methyladenosine sites in multiple tissues of mammals.
Dao FY; Lv H; Yang YH; Zulfiqar H; Gao H; Lin H
Comput Struct Biotechnol J; 2020; 18():1084-1091. PubMed ID: 32435427
[TBL] [Abstract][Full Text] [Related]
8. Emerging Roles for DNA 6mA and RNA m6A Methylation in Mammalian Genome.
Xie L; Zhang X; Xie J; Xu Y; Li XJ; Lin L
Int J Mol Sci; 2023 Sep; 24(18):. PubMed ID: 37762200
[TBL] [Abstract][Full Text] [Related]
9. Discovering Consensus Regions for Interpretable Identification of RNA N6-Methyladenosine Modification Sites via Graph Contrastive Clustering.
Li G; Zhao B; Su X; Yang Y; Hu P; Zhou X; Hu L
IEEE J Biomed Health Inform; 2024 Apr; 28(4):2362-2372. PubMed ID: 38265898
[TBL] [Abstract][Full Text] [Related]
10. TS-m6A-DL: Tissue-specific identification of N6-methyladenosine sites using a universal deep learning model.
Abbas Z; Tayara H; Zou Q; Chong KT
Comput Struct Biotechnol J; 2021; 19():4619-4625. PubMed ID: 34471503
[TBL] [Abstract][Full Text] [Related]
11. MTDeepM6A-2S: A two-stage multi-task deep learning method for predicting RNA N6-methyladenosine sites of
Wang H; Zhao S; Cheng Y; Bi S; Zhu X
Front Microbiol; 2022; 13():999506. PubMed ID: 36274691
[TBL] [Abstract][Full Text] [Related]
12. bCNN-Methylpred: Feature-Based Prediction of RNA Sequence Modification Using Branch Convolutional Neural Network.
Islam N; Park J
Genes (Basel); 2021 Jul; 12(8):. PubMed ID: 34440330
[TBL] [Abstract][Full Text] [Related]
13. Comprehensive review and assessment of computational methods for predicting RNA post-transcriptional modification sites from RNA sequences.
Chen Z; Zhao P; Li F; Wang Y; Smith AI; Webb GI; Akutsu T; Baggag A; Bensmail H; Song J
Brief Bioinform; 2020 Sep; 21(5):1676-1696. PubMed ID: 31714956
[TBL] [Abstract][Full Text] [Related]
14. WHISTLE: a high-accuracy map of the human N6-methyladenosine (m6A) epitranscriptome predicted using a machine learning approach.
Chen K; Wei Z; Zhang Q; Wu X; Rong R; Lu Z; Su J; de Magalhães JP; Rigden DJ; Meng J
Nucleic Acids Res; 2019 Apr; 47(7):e41. PubMed ID: 30993345
[TBL] [Abstract][Full Text] [Related]
15. Formation and removal of 1,N6-dimethyladenosine in mammalian transfer RNA.
You XJ; Zhang S; Chen JJ; Tang F; He J; Wang J; Qi CB; Feng YQ; Yuan BF
Nucleic Acids Res; 2022 Sep; 50(17):9858-9872. PubMed ID: 36095124
[TBL] [Abstract][Full Text] [Related]
16. Predicting N6-Methyladenosine Sites in Multiple Tissues of Mammals through Ensemble Deep Learning.
Luo Z; Lou L; Qiu W; Xu Z; Xiao X
Int J Mol Sci; 2022 Dec; 23(24):. PubMed ID: 36555143
[TBL] [Abstract][Full Text] [Related]
17. Extremely-randomized-tree-based Prediction of N
Govindaraj RG; Subramaniyam S; Manavalan B
Curr Genomics; 2020 Jan; 21(1):26-33. PubMed ID: 32655295
[TBL] [Abstract][Full Text] [Related]
18. Funm6AViewer: a web server and R package for functional analysis of context-specific m6A RNA methylation.
Zhang SY; Zhang SW; Tang Y; Fan XN; Meng J
Bioinformatics; 2021 Nov; 37(22):4277-4279. PubMed ID: 33974000
[TBL] [Abstract][Full Text] [Related]
19. M6ATMR: identifying N6-methyladenosine sites through RNA sequence similarity matrix reconstruction guided by Transformer.
Xiang S; Zhang T; Wu M
PeerJ; 2023; 11():e15899. PubMed ID: 37719113
[TBL] [Abstract][Full Text] [Related]
20. The role of m6A RNA methylation in cancer.
Sun T; Wu R; Ming L
Biomed Pharmacother; 2019 Apr; 112():108613. PubMed ID: 30784918
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
