Background A novel data‐driven Boolean model, namely, the fundamental Boolean model
(FBM), has been proposed to draw genetic regulatory insights into gene activation …

A Boolean model is a simple, discrete and dynamic model without the need to consider the
effects at the intermediate levels. However, little effort has been made into constructing …

In this manuscript it is proposed to explore two representations of a biological system using
computational modeling. These representations both gave birth to several methodological …

Background Although anti-apoptotic proteins of the B-cell lymphoma-2 (BCL2) family have
been utilized as therapeutic targets in acute myeloid leukaemia (AML), their complicated …

Studying gene regulatory networks associated with cancer provides valuable insights for
therapeutic purposes, given that cancer is fundamentally a genetic disease. However, as the …

The inference of Gene Regulatory Networks (GRNs) from time series gene expression data
is an effective approach for unveiling important underlying gene-gene relationships and …

Protein signaling networks are static views of dynamic processes where proteins go through
many biochemical modifications such as ubiquitination and phosphorylation to propagate …

Advances in DNA microarray technology that enable the simultaneous measurement of
thousands of genes in a single experiment has revolutionized current molecular biology …

Cancer is a genomic disease involving various intertwined pathways with complex cross-
communication links. Conceptually, this complex interconnected system forms a network …

Background The desire to understand genomic functions and the behavior of complex gene
regulatory networks has recently been a major research focus in systems biology. As a …