Integrating steady-state and dynamic gene expression data for improving genetic network modelling
Reverse engineering of Gene Regulatory Networks (GRNs) from experimentally obtained
high-throughput data is an active and promising area of research. Among several modelling …
high-throughput data is an active and promising area of research. Among several modelling …
Dynamically regulated initialization for S-system modelling of genetic networks
Reverse engineering of gene regulatory networks through temporal gene expression data is
an active area of research. Among the plethora of modelling techniques under investigation …
an active area of research. Among the plethora of modelling techniques under investigation …
Combining kinetic orders for efficient S-System modelling of gene regulatory network
S-System models, non-linear differential equation models, are widely used for reconstructing
gene regulatory networks from temporal gene expression data. An S-System model involves …
gene regulatory networks from temporal gene expression data. An S-System model involves …
Evolutionary algorithms for applications of biological networks: A review
With the rapid development of next-generation sequencing and high-throughput
technologies, much biological data have been generated. The analysis of biological …
technologies, much biological data have been generated. The analysis of biological …
[PDF][PDF] Hybrid immune algorithms in the gene regulatory networks reconstruction
AO Fefelov, VI Lytvynenko, MA Taif… - CEUR Workshop …, 2019 - ceur-ws.org
The reconstruction is the process of identifying the structural and dynamic properties of the
system on the basis of observations of its behavior and certain knowledge in the relevant …
system on the basis of observations of its behavior and certain knowledge in the relevant …