Standards Archives - Transactions on NanoBioscience (TNB)

August 6, 2018

MfeCNN: Mixture Feature Embedding Convolutional Neural Network for Data Mapping

Author(s)3: Dingcheng Li, Ming Huang, Xiaodi Li, Yaoping Ruan, Lixia Yao

MfeCNN: Mixture Feature Embedding Convolutional Neural Network for Data Mapping https://www.embs.org/tnb/wp-content/uploads/sites/16/2018/08/CNN.png 215 259 Transactions on NanoBioscience (TNB) Transactions on NanoBioscience (TNB) //www.embs.org/tnb/wp-content/uploads/sites/16/2022/06/ieee-tnb-logo2x.png August 6, 2018 March 4, 2022

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…

July 30, 2017

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

Author(s)3: Leyi Wei, Pengwei Xing, Jijun Tang, Quan Zou

PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only https://www.embs.org/tnb/wp-content/uploads/sites/16/2017/07/wei2.png 215 178 Transactions on NanoBioscience (TNB) Transactions on NanoBioscience (TNB) //www.embs.org/tnb/wp-content/uploads/sites/16/2022/06/ieee-tnb-logo2x.png July 30, 2017 March 4, 2022

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…