260 related articles for article (PubMed ID: 31542696)
1. SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome.
Basith S; Manavalan B; Shin TH; Lee G
Mol Ther Nucleic Acids; 2019 Dec; 18():131-141. PubMed ID: 31542696
[TBL] [Abstract][Full Text] [Related]
2. Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework.
Hasan MM; Basith S; Khatun MS; Lee G; Manavalan B; Kurata H
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32910169
[TBL] [Abstract][Full Text] [Related]
3. iDNA6mA-Rice: A Computational Tool for Detecting N6-Methyladenine Sites in Rice.
Lv H; Dao FY; Guan ZX; Zhang D; Tan JX; Zhang Y; Chen W; Lin H
Front Genet; 2019; 10():793. PubMed ID: 31552096
[TBL] [Abstract][Full Text] [Related]
4. SNNRice6mA: A Deep Learning Method for Predicting DNA N6-Methyladenine Sites in Rice Genome.
Yu H; Dai Z
Front Genet; 2019; 10():1071. PubMed ID: 31681441
[TBL] [Abstract][Full Text] [Related]
5. iDNA6mA-Rice-DL: A local web server for identifying DNA N6-methyladenine sites in rice genome by deep learning method.
He S; Kong L; Chen J
J Bioinform Comput Biol; 2021 Oct; 19(5):2150019. PubMed ID: 34291710
[TBL] [Abstract][Full Text] [Related]
6. i6mA-Vote: Cross-Species Identification of DNA N6-Methyladenine Sites in Plant Genomes Based on Ensemble Learning With Voting.
Teng Z; Zhao Z; Li Y; Tian Z; Guo M; Lu Q; Wang G
Front Plant Sci; 2022; 13():845835. PubMed ID: 35237293
[TBL] [Abstract][Full Text] [Related]
7. i6mA-stack: A stacking ensemble-based computational prediction of DNA N6-methyladenine (6mA) sites in the Rosaceae genome.
Khanal J; Lim DY; Tayara H; Chong KT
Genomics; 2021 Jan; 113(1 Pt 2):582-592. PubMed ID: 33010390
[TBL] [Abstract][Full Text] [Related]
8. i6mA-DNCP: Computational Identification of DNA
Kong L; Zhang L
Genes (Basel); 2019 Oct; 10(10):. PubMed ID: 31635172
[TBL] [Abstract][Full Text] [Related]
9. 6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site.
Huang G; Huang X; Luo W
BioData Min; 2023 Nov; 16(1):34. PubMed ID: 38012796
[TBL] [Abstract][Full Text] [Related]
10. i6mA-Pred: identifying DNA N6-methyladenine sites in the rice genome.
Chen W; Lv H; Nie F; Lin H
Bioinformatics; 2019 Aug; 35(16):2796-2800. PubMed ID: 30624619
[TBL] [Abstract][Full Text] [Related]
11. 6mA-RicePred: A Method for Identifying DNA
Huang Q; Zhang J; Wei L; Guo F; Zou Q
Front Plant Sci; 2020; 11():4. PubMed ID: 32076430
[TBL] [Abstract][Full Text] [Related]
12. i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites.
Rehman MU; Tayara H; Zou Q; Chong KT
Bioinformatics; 2022 Aug; 38(16):3885-3891. PubMed ID: 35771648
[TBL] [Abstract][Full Text] [Related]
13. Ense-i6mA: Identification of DNA N6-methyl-adenine Sites Using XGB-RFE Feature Se-lection and Ensemble Machine Learning.
Fan XQ; Lin B; Hu J; Guo ZY
IEEE/ACM Trans Comput Biol Bioinform; 2024 Jul; PP():. PubMed ID: 38949938
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species.
Li Z; Jiang H; Kong L; Chen Y; Lang K; Fan X; Zhang L; Pian C
PLoS Comput Biol; 2021 Feb; 17(2):e1008767. PubMed ID: 33600435
[TBL] [Abstract][Full Text] [Related]
16. Critical evaluation of web-based DNA N6-methyladenine site prediction tools.
Hasan MM; Shoombuatong W; Kurata H; Manavalan B
Brief Funct Genomics; 2021 Jul; 20(4):258-272. PubMed ID: 33491072
[TBL] [Abstract][Full Text] [Related]
17. 4mCpred-EL: An Ensemble Learning Framework for Identification of DNA
Manavalan B; Basith S; Shin TH; Lee DY; Wei L; Lee G
Cells; 2019 Oct; 8(11):. PubMed ID: 31661923
[TBL] [Abstract][Full Text] [Related]
18. THRONE: A New Approach for Accurate Prediction of Human RNA N7-Methylguanosine Sites.
Shoombuatong W; Basith S; Pitti T; Lee G; Manavalan B
J Mol Biol; 2022 Jun; 434(11):167549. PubMed ID: 35662472
[TBL] [Abstract][Full Text] [Related]
19. Identification and analysis of adenine N
Zhou C; Wang C; Liu H; Zhou Q; Liu Q; Guo Y; Peng T; Song J; Zhang J; Chen L; Zhao Y; Zeng Z; Zhou DX
Nat Plants; 2018 Aug; 4(8):554-563. PubMed ID: 30061746
[TBL] [Abstract][Full Text] [Related]
20. MethSemble-6mA: an ensemble-based 6mA prediction server and its application on promoter region of LBD gene family in Poaceae.
Sinha D; Dasmandal T; Paul K; Yeasin M; Bhattacharjee S; Murmu S; Mishra DC; Pal S; Rai A; Archak S
Front Plant Sci; 2023; 14():1256186. PubMed ID: 37877081
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]