262 related articles for article (PubMed ID: 34051729)
1. EDLm
Zhang L; Li G; Li X; Wang H; Chen S; Liu H
BMC Bioinformatics; 2021 May; 22(1):288. PubMed ID: 34051729
[TBL] [Abstract][Full Text] [Related]
2. EMDLP: Ensemble multiscale deep learning model for RNA methylation site prediction.
Wang H; Liu H; Huang T; Li G; Zhang L; Sun Y
BMC Bioinformatics; 2022 Jun; 23(1):221. PubMed ID: 35676633
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. 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]
6. Gene2vec: gene subsequence embedding for prediction of mammalian
Zou Q; Xing P; Wei L; Liu B
RNA; 2019 Feb; 25(2):205-218. PubMed ID: 30425123
[No 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. BERMP: a cross-species classifier for predicting m
Huang Y; He N; Chen Y; Chen Z; Li L
Int J Biol Sci; 2018; 14(12):1669-1677. PubMed ID: 30416381
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. WHISTLE: A Functionally Annotated High-Accuracy Map of Human m
Xu Q; Chen K; Meng J
Methods Mol Biol; 2021; 2284():519-529. PubMed ID: 33835461
[TBL] [Abstract][Full Text] [Related]
11. HSM6AP: a high-precision predictor for the Homo
Li J; He S; Guo F; Zou Q
RNA Biol; 2021 Nov; 18(11):1882-1892. PubMed ID: 33446014
[TBL] [Abstract][Full Text] [Related]
12. DLm6Am: A Deep-Learning-Based Tool for Identifying N6,2'-O-Dimethyladenosine Sites in RNA Sequences.
Luo Z; Su W; Lou L; Qiu W; Xiao X; Xu Z
Int J Mol Sci; 2022 Sep; 23(19):. PubMed ID: 36232325
[TBL] [Abstract][Full Text] [Related]
13. M6APred-EL: A Sequence-Based Predictor for Identifying N6-methyladenosine Sites Using Ensemble Learning.
Wei L; Chen H; Su R
Mol Ther Nucleic Acids; 2018 Sep; 12():635-644. PubMed ID: 30081234
[TBL] [Abstract][Full Text] [Related]
14. SRAMP: prediction of mammalian N6-methyladenosine (m6A) sites based on sequence-derived features.
Zhou Y; Zeng P; Li YH; Zhang Z; Cui Q
Nucleic Acids Res; 2016 Jun; 44(10):e91. PubMed ID: 26896799
[TBL] [Abstract][Full Text] [Related]
15. iMethyl-Deep: N6 Methyladenosine Identification of Yeast Genome with Automatic Feature Extraction Technique by Using Deep Learning Algorithm.
Mahmoudi O; Wahab A; Chong KT
Genes (Basel); 2020 May; 11(5):. PubMed ID: 32397453
[TBL] [Abstract][Full Text] [Related]
16. m6Acomet: large-scale functional prediction of individual m
Wu X; Wei Z; Chen K; Zhang Q; Su J; Liu H; Zhang L; Meng J
BMC Bioinformatics; 2019 May; 20(1):223. PubMed ID: 31046660
[TBL] [Abstract][Full Text] [Related]
17. MTTLm
Wang H; Zeng W; Huang X; Liu Z; Sun Y; Zhang L
Math Biosci Eng; 2024 Jan; 21(1):272-299. PubMed ID: 38303423
[TBL] [Abstract][Full Text] [Related]
18. M6AMRFS: Robust Prediction of N6-Methyladenosine Sites With Sequence-Based Features in Multiple Species.
Qiang X; Chen H; Ye X; Su R; Wei L
Front Genet; 2018; 9():495. PubMed ID: 30410501
[TBL] [Abstract][Full Text] [Related]
19. ConsRM: collection and large-scale prediction of the evolutionarily conserved RNA methylation sites, with implications for the functional epitranscriptome.
Song B; Chen K; Tang Y; Wei Z; Su J; de Magalhães JP; Rigden DJ; Meng J
Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 33993206
[TBL] [Abstract][Full Text] [Related]
20. Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning.
Hou Z; Yang Y; Ma Z; Wong KC; Li X
Commun Biol; 2023 Jan; 6(1):73. PubMed ID: 36653447
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]