Designing and conducting experiments are routine practices for modern biologists. The real
challenge, especially in the post-genome era, usually comes not from acquiring data, but …

Background The increasing availability of time series microbial community data from
metagenomics and other molecular biological studies has enabled the analysis of large …

Background One of main aims of Molecular Biology is the gain of knowledge about how
molecular components interact each other and to understand gene function regulations …

Local associations refer to spatial–temporal correlations that emerge from the biological
realm, such as time-dependent gene co-expression or seasonal interactions between …

Plants have significantly more transcription factor (TF) families than animals and fungi, and
plant TF families tend to contain more genes; these expansions are linked to adaptation to …

We consider the problem of discovering gene regulatory networks from time-series
microarray data. Recently, graphical Granger modeling has gained considerable attention …

Motivation: Interaction among time series can be explored in many ways. All the approach
has the usual problem of low power and high dimensional model. Here we attempted to …

Motivation: Reverse engineering gene regulatory networks, especially large size networks
from time series gene expression data, remain a challenge to the systems biology …

Identification of genetic regulatory networks and genetic signal transduction pathways from
gene expression data is one of the key problems in computational molecular biology …

Gene expression measurements represent the most important source of biological data
used to unveil the interaction and functionality of genes. In this regard, several data mining …