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An exponential growth in the literature in general and the medical literature in particular raises a need for effective intelligent analysis strategies and tools to provide valuable insights to researchers about the current evolving literature. While ...

The advent of the edge computing network paradigm places the computational and storage resources away from the data centers and closer to the edge of the network largely comprising the heterogeneous IoT devices collecting huge volumes of data. This ...

How individual biological phenotypes are encoded by genome sequences will be elucidated more and more in the post-genomic era, and it is possible to establish personalized accurate education approaches based on personal gene information, including ...

Relative Expression Analysis RXA plays an important role in biomarker discovery and microarray data classification. It focuses on ordering relationships between the expression of small sets of genes rather than their raw values. Most of the RXA ...

An important goal of systems biology is to understand and identify mechanisms of the human body system. Genes play functional roles in the context of complex pathways. Analysis of genes as networks is therefore important to understand whole system ...

Heterogeneous gene expressions provide insight into the biological role of gene interaction with the environment, disease development and drug effect at the molecular level. We propose Time Lagged Recurrent Neural Network with trajectory learning for ...