machine learning

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 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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A Novel Method to Predict Knee Osteoarthritis Progression on MRI Using Machine Learning Methods
Author(s)3: Yaodong Du, Rania Almajalid, Juan Shan, Ming Zhang
A Novel Method to Predict Knee Osteoarthritis Progression on MRI Using Machine Learning Methods 215 259 Transactions on NanoBioscience (TNB)

This paper explored the hidden biomedical information from knee magnetic resonance (MR) images for osteoarthritis (OA) prediction. We have computed the cartilage damage index (CDI) information from 36 informative locations…

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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 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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