Khanal, Jhabindra et al. published their research in Genomics in 2021 |CAS: 443-72-1

The Article related to rosaceae genome dna n6 methyladenine computational prediction, dna n6-methyladenine, machine learning, rfecv, sequence analysis, stacking, Biochemical Genetics: Genomic Processes and other aspects.Related Products of 443-72-1

On January 31, 2021, Khanal, Jhabindra; Lim, Dae Young; Tayara, Hilal; Chong, Kil To published an article.Related Products of 443-72-1 The title of the article was A stacking ensemble-based computational prediction of DNA N6-methyladenine (6mA) sites in the Rosaceae genome. And the article contained the following:

DNA N6-methyladenine (6 mA) is an epigenetic modification that plays a vital role in a variety of cellular processes in both eukaryotes and prokaryotes. Accurate information of 6 mA sites in the Rosaceae genome may assist in understanding genomic 6 mA distributions and various biol. functions such as epigenetic inheritance. Various studies have shown the possibility of identifying 6 mA sites through experiments, but the procedures are time-consuming and costly. To overcome the drawbacks of exptl. methods, we propose an accurate computational paradigm based on a machine learning (ML) technique to identify 6 mA sites in Rosa chinensis (R.chinensis) and Fragaria vesca (F.vesca). To improve the performance of the proposed model and to avoid overfitting, a recursive feature elimination with cross-validation (RFECV) strategy is used to extract the optimal number of features (ONF) subset from five different DNA sequence encoding schemes, i.e., Binary Encoding (BE), Ring-Function-Hydrogen-Chem. Properties (RFHC), Electron-Ion-Interaction Pseudo Potentials of Nucleotides (EIIP), Dinucleotide Physicochem. Properties (DPCP), and Trinucleotide Physicochem. Properties (TPCP). Subsequently, we use the ONF subset to train a double layers of ML-based stacking model to create a bioinformatics tool named ‘i6mA-stack’. The experimental process involved the reaction of N-Methyl-7H-purin-6-amine(cas: 443-72-1).Related Products of 443-72-1

The Article related to rosaceae genome dna n6 methyladenine computational prediction, dna n6-methyladenine, machine learning, rfecv, sequence analysis, stacking, Biochemical Genetics: Genomic Processes and other aspects.Related Products of 443-72-1

Referemce:
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