In the big data era, voluminous datasets are routinely acquired, stored and analyzed with the
aim to inform biomedical discoveries and validate hypotheses. No doubt, data volume and …

Cancer remains a fundamental burden to public health despite substantial efforts aimed at
developing effective chemotherapeutics and significant advances in chemotherapeutic …

The drug discovery and development process is advancing with time and in-silico research
has enabled the identification of new drugs through target identification and validation. In …

The systems genetics is an emerging discipline that integrates high-throughput expression
profiling technology and systems biology approaches for revealing the molecular …

Many complex diseases such as cancer are associated with changes in biological pathways
and molecular networks rather than being caused by single gene alterations. A major …

Background: A central problem of systems biology is the reconstruction of the topology of
gene regulatory networks (GRNs) using high throughput genomic data like microarray gene …

Reconstruction of gene regulatory networks orreverse-engineering'is a process of identifying
gene interaction networks from experimental microarray gene expression profile through …

Biclustering, which is simultaneous clustering of columns and rows in data matrix, became
an issue when classical clustering algorithms proved not to be good enough to detect similar …

NAs) play an important role in the regulation of cell growth, differentiation, apoptosis, and
carcinogenesis. Deregulated miRNAs are found in blood cells of cancer patients recently …

Gene networks (GNs) have become one of the most important approaches for modeling
biological processes. They are very useful to understand the different complex biological …