Data models

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 Communication Theoretical Modeling of Axonal Propagation in Hippocampal Pyramidal Neurons
Author(s)3: Ozgur B. Akan, Hamideh Ramezani
A Communication Theoretical Modeling of Axonal Propagation in Hippocampal Pyramidal Neurons 780 435 Transactions on NanoBioscience (TNB)

Understanding the fundamentals of communication among neurons, known as neuro-spike communication, leads to reach bio-inspired nanoscale communication paradigms. In this work, we focus on a part of neuro-spike communication, known…

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OVarCall: Bayesian Mutation Calling Method Utilizing Overlapping Paired-End Reads
Author(s)3: Takuya Moriyama, Yuichi Shiraishi, Kenichi Chiba, Rui Yamaguchi, Seiya Imoto, Satoru Miyano
OVarCall: Bayesian Mutation Calling Method Utilizing Overlapping Paired-End Reads 215 235 Transactions on NanoBioscience (TNB)

Detection of somatic mutations from tumor and matched normal sequencing data has become a standard approach in cancer research. Although a number of mutation callers have been developed, it is…

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A Generalized dSpliceType Framework to Detect Differential Splicing and Differential Expression Events Using RNA-Seq
Author(s)3: Dongxiao Zhu, Nan Deng, Changxin Bai
A Generalized dSpliceType Framework to Detect Differential Splicing and Differential Expression Events Using RNA-Seq 556 235 Transactions on NanoBioscience (TNB)

ACCESS PAPER DATA READ FULL ARTICLE ON IEEE XPLORE Abstract Transcriptomes are routinely compared in term of a list of differentially expressed genes followed by functional enrichment analysis. Due to…

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