Predictive models

MfeCNN: Mixture Feature Embedding Convolutional Neural Network for Data Mapping

Author(s): Dingcheng Li, Ming Huang, Xiaodi Li, Yaoping Ruan, Lixia Yao
MfeCNN: Mixture Feature Embedding Convolutional Neural Network for Data Mapping 215 259 Transactions on NanoBioscience (TNB)

Data mapping plays an important role in data integration and exchanges among institutions and organizations with different data standards. However, traditional rule-based approaches and machine learning methods fail to achieve…

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TargetM6A: Identifying N6-Methyladenosine Sites From RNA Sequences via Position-Specific Nucleotide Propensities and a Support Vector Machine

Author(s): Guang-Qing Li, Zi Liu, Hong-Bin Shen, Dong-Jun Yu
TargetM6A: Identifying N6-Methyladenosine Sites From RNA Sequences via Position-Specific Nucleotide Propensities and a Support Vector Machine 215 220 Transactions on NanoBioscience (TNB)

As one of the most ubiquitous post-transcriptional modifications of RNA, N6-methyladenosine ( m 6 A  ) plays an essential role in many vital biological processes. The identification of m 6 A  sites in RNAs…

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