Embryonic development is controlled by networks of interacting regulatory genes. The individual linkages of gene regulatory networks (GRNs) are customarily validated by functional cis-regulatory analysis, but an additional approach to validation is to rewire GRN circuitry to test experimentally predictions derived from network structure. Here we use this synthetic method to challenge specific p...

In the present paper, concept of almost periodic waves is introduced to discontinuous impulsive fractional inclusions involving Caputo derivative. New results on existence and uniqueness are established by using theory operator semigroups, Hausdorff measure noncompactness, fixed point theorems calculus techniques. Applications a class fractional-order gene regulatory network (GRN) models propos...

MOTIVATION Gene regulatory network (GRN) inference reveals the influences genes have on one another in cellular regulatory systems. If the experimental data are inadequate for reliable inference of the network, informative priors have been shown to improve the accuracy of inferences. RESULTS This study explores the potential of undirected, confidence-weighted networks, such as those in functi...

Biological networks may be categorised [1] as metabolic pathways, signal transduction pathways, gene regulatory networks and protein-protein interaction (PPI). A Gene Regulatory Network (GRN) is a collection of genes in a cell which interact with each other and with other molecules in the cell such as proteins or metabolites, thereby governing the rates at which genes in the network are transcr...

A central challenge of developmental and evolutionary biology is to understand how anatomy is encoded in the genome. Elucidating the genetic mechanisms that control the development of specific anatomical features will require the analysis of model morphogenetic processes and an integration of biological information at genomic, cellular and tissue levels. The formation of the endoskeleton of the...

Understanding gene interactions in complex living systems can be seen as the ultimate goal of the systems biology revolution. Hence, to fully understand disease ontology and to reduce the cost of drug development, Gene Regulatory Networks (GRN) have to be constructed. During the last decade, many GRN inference algorithms like Bayesian network that are based on genome-wide data have been develop...

Human gene regulatory networks (GRN) can be difficult to interpret due to a tangle of edges interconnecting thousands of genes. We constructed a general human GRN from extensive transcription factor and microRNA target data obtained from public databases. In a subnetwork of this GRN that is active during estrogen stimulation of MCF-7 breast cancer cells, we benchmarked automated algorithms for ...

Sensor nodes in Wireless Sensor Network (WSN) are responsible for sensing the environment and propagating the collected data in the network. The communication between sensor nodes may fail due to different factors, such as temporal variations of the wireless channel, interference, hardware failures, and energy depletion. Hence, robust design of WSNs in order to be resilient to such failures is ...

Understanding gene interactions in complex living systems can be seen as the ultimate goal of the systems biology revolution. Hence, to fully understand disease ontology and to reduce the cost of drug development, gene regulatory networks (GRN) have to be constructed. During the last decade, many GRN inference algorithms like ‘Bayesian network’ that are based on genome-wide data have been devel...

Alteration of the functional organization of the gene regulatory networks (GRNs) that control development of the body plan causes evolutionary change in animal morphology. A major mechanism of evolutionary change in GRN structure is alteration of cis-regulatory modules that determine regulatory gene expression. Both evolutionary conservation and evolutionary innovation must be considered in ter...