Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy
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Title
Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy
Authors
Keywords
RNA N5-methylcytosine, epigenetic regulation, deep learning, machine learning, prediction model, sequence analysis, systematic evaluation, bioinformatics, stacking framework, baseline models
Journal
MOLECULAR THERAPY
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2022-05-06
DOI
10.1016/j.ymthe.2022.05.001
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