feature extraction

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…

read more

Classification of Schizophrenia Based on Individual Hierarchical Brain Networks Constructed From Structural MRI Images
Author(s)3: Jin Liu, Min Li, Yi Pan, Fang-Xiang Wu, Xiaogang Chen, Jianxin Wang
Classification of Schizophrenia Based on Individual Hierarchical Brain Networks Constructed From Structural MRI Images 780 435 Transactions on NanoBioscience (TNB)

With structural magnetic resonance imaging (MRI) images, conventional methods for the classification of schizophrenia (SCZ) and healthy control (HC) extract cortical thickness independently at different regions of interest (ROIs) without…

read more

Robust and Efficient Biomolecular Clustering of Tumor Based on p -Norm Singular Value Decomposition
Author(s)3: Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Juan Wang
Robust and Efficient Biomolecular Clustering of Tumor Based on p -Norm Singular Value Decomposition 215 235 Transactions on NanoBioscience (TNB)

High dimensionality has become a typical feature of biomolecular data. In this paper, a novel dimension reduction method named p-norm singular value decomposition (PSVD) is proposed to seek the low-rank…

read more

Identification of DNA-Binding Proteins by Combining Auto-Cross Covariance Transformation and Ensemble Learning
Author(s)3: Bin Liu, Shanyi Wang, Qiwen Dong, Shumin Li, Xuan Liu
Identification of DNA-Binding Proteins by Combining Auto-Cross Covariance Transformation and Ensemble Learning 556 235 Transactions on NanoBioscience (TNB)

DNA-binding proteins play a pivotal role in various intra- and extra-cellular activities ranging from DNA replication to gene expression control. With the rapid development of next generation of sequencing technique,…

read more

Identification Exon Skipping Events From High-Throughput RNA Sequencing Data
Author(s)3: Yang Bai, Shufan Ji, Qinghua Jiang, Yadong Wang
Identification Exon Skipping Events From High-Throughput RNA Sequencing Data 266 114 Transactions on NanoBioscience (TNB)

The emergence of next-generation high-throughput RNA sequencing (RNA-Seq) provides tremendous opportunities for researchers to analyze alternative splicing on a genome-wide scale. However, accurate identification of alternative splicing events from RNA-Seq…

read more
Search this website