Standards

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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PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only

Author(s): Leyi Wei, Pengwei Xing, Jijun Tang, Quan Zou
PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only 215 178 Transactions on NanoBioscience (TNB)

Many recent efforts have been made for the development of machine learning based methods for fast and accurate phosphorylation site prediction. Currently, a majority of well-performing methods are based on…

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