Motivation: Textual data compression, and the associated techniques coming from
information theory, are often perceived as being of interest for data communication and …

In recent years the study of the statistical properties of heartbeat interval sequences has
attracted the attention of researchers from different fields. 18–22 Analysis has focused …

Protein coding regions are commonly diffused with non-coding regions due to 1/f
background noise in such a way that a viable discernment between the two regions …

We study statistical properties of the Jensen-Shannon divergence D, which quantifies the
difference between probability distributions, and which has been widely applied to analyses …

Any physical system can be viewed from the perspective that information is implicitly
represented in its state. However, the quantification of this information when it comes to …

In this research article, quantum information-theoretic analysis of the class of Yukawa
potential (CYP) has been considered in the presence of magnetic and Aharanov–Bohm (AB) …

A parametric signal processing approach for DNA sequence analysis based on
autoregressive (AR) modeling is presented. AR model residual errors and AR model …

Data-driven machine learning, especially deep learning technology, is becoming an
important tool for handling big data issues in bioinformatics. In machine learning, DNA …

Based on the conservation of nucleotides at splicing sites and the features of base
composition and base correlation around these sites we use the method of increment of …

We report some recent attempts to understand the dynamics of complex physiologic
fluctuations by adapting and extending concepts and methods developed very recently in …