Training

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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Identifying Individual-Cancer-Related Genes by Re-balancing the Training Samples
Author(s)3: Bolin Chen, Xuequn Shang, Min Li, Jianxin Wang, Fang-Xiang Wu
Identifying Individual-Cancer-Related Genes by Re-balancing the Training Samples 556 235 Transactions on NanoBioscience (TNB)

The identification of individual-cancer-related genes typically is an imbalanced classification issue. The number of known cancer-related genes is far less than the number of all unknown genes, which makes it…

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Genome-Wide Search for Translated Upstream Open Reading Frames in Arabidopsis Thaliana
Author(s)3: Qiwen Hu, Catharina Merchante, Anna N. Stepanova, Jose M. Alonso, Steffen Heber
Genome-Wide Search for Translated Upstream Open Reading Frames in Arabidopsis Thaliana 556 235 Transactions on NanoBioscience (TNB)

Upstream open reading frames (uORFs) are open reading frames that occur within the 5′ UTR of an mRNA. uORFs have been found in many organisms. They play an important role…

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