36 related articles for article (PubMed ID: 38549308)
1. SNN6mA: Improved DNA N6-methyladenine site prediction using Siamese network-based feature embedding.
Yu X; Hu J; Zhang Y
Comput Biol Med; 2023 Nov; 166():107533. PubMed ID: 37793205
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Development of SPQC sensor based on the specific recognition of TAL-effectors for locus-specific detection of 6-methyladenine in DNA.
Liu Y; Liu S; Huang J; Zhou J; He F
Talanta; 2024 May; 277():126279. PubMed ID: 38810382
[TBL] [Abstract][Full Text] [Related]
4. AggreProt: a web server for predicting and engineering aggregation prone regions in proteins.
Planas-Iglesias J; Borko S; Swiatkowski J; Elias M; Havlasek M; Salamon O; Grakova E; Kunka A; Martinovic T; Damborsky J; Martinovic J; Bednar D
Nucleic Acids Res; 2024 May; ():. PubMed ID: 38801076
[TBL] [Abstract][Full Text] [Related]
5. 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]
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-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]
8. i6mA-VC: A Multi-Classifier Voting Method for the Computational Identification of DNA N6-methyladenine Sites.
Xue T; Zhang S; Qiao H
Interdiscip Sci; 2021 Sep; 13(3):413-425. PubMed ID: 33834381
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. SoftVoting6mA: An improved ensemble-based method for predicting DNA N6-methyladenine sites in cross-species genomes.
Yin Z; Lyu J; Zhang G; Huang X; Ma Q; Jiang J
Math Biosci Eng; 2024 Feb; 21(3):3798-3815. PubMed ID: 38549308
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. The exploration of N6-deoxyadenosine methylation in mammalian genomes.
Li X; Zhang Z; Luo X; Schrier J; Yang AD; Wu TP
Protein Cell; 2021 Oct; 12(10):756-768. PubMed ID: 34405377
[TBL] [Abstract][Full Text] [Related]
13.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
14.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
15.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
16.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
17.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
18.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]