EDLm6APred: ensemble deep learning approach for mRNA m6A site prediction

Background: As a common and abundant RNA methylation modification, N6-methyladenosine (m6A) is widely spread in various species' transcriptomes, and it is closely related to the occurrence and development of various life processes and diseases. Thus, accurate identification of m6A methylation s...

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Bibliographic Details
Main Authors:	Chen, S. (Author), Li, G. (Author), Li, X. (Author), Liu, H. (Author), Wang, H. (Author), Zhang, L. (Author)
Format:	Article
Language:	English
Published:	BioMed Central Ltd 2021
Subjects:	adenosine Adenosine Alkylation animal Animals Classification (of information) Conventional classifier Deep learning Deep Learning Extraction Feature extraction Feature extraction and classification Feature extraction methods Forecasting High-throughput sequencing Learning systems m6A methylation modification Machine learning methods Mammals messenger RNA metabolism methylation Methylation Mice mouse NAtural language processing Natural language processing systems Predictive analytics Predictor Receiver operating curves RNA RNA, Messenger Site identification Support vector machines Word embedding
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EDLm6APred: ensemble deep learning approach for mRNA m6A site prediction

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