Vol. 16, No. 5Biomolecular Network Controllability With Drug Binding Information
Complex networks are ubiquitous in nature. In biological systems, biomolecules interact with each other to form so-called biomolecular networks, which determine the cellular behaviors of living organisms.
Vol. 16, No. 5FPGA Implementation of the Coupled Filtering Method and the Affine Warping Method
In ultrasound image analysis, the speckle tracking methods are widely applied to study the elasticity of body tissue. However, “feature-motion decorrelation” still remains as a challenge for the speckle tracking methods.
Vol. 16, No. 5Robust and Efficient Biomolecular Clustering of Tumor Based on p -Norm Singular Value Decomposition
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 approximation matrix to the biomolecular data.
Vol. 16, No. 4Detection of Glutathione by Glutathione-S-Transferase – Nanoconjugate Ensemble Electrochemical Device
This paper reports a novel electrochemical method for detection of Glutathione (GSH) using Glutathione-S-Transferase (GST) – ZnO composite nanoparticles to investigate the prospects of the method for detection of cancer at an early stage.
Vol. 16, No. 4PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only
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 hybrid information to build prediction models, such as evolutionary information, and disorder information, etc.
Vol. 16, No. 4A Communication Theoretical Modeling of Axonal Propagation in Hippocampal Pyramidal Neurons
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 as axonal transmission, and propose a realistic model for it