Description: Recent advances in gene sequencing technology are now shedding light on the complex interplay between genes that elicit phenotypic behavior characteristic of any given organism. In order to mediate internal and external signals, the daunting task of classifying an organism`s genes into complex signaling pathways needs to be completed. The Handbook of Research on Computational Methodologies in Gene Regulatory Networks focuses on methods widely used in modeling gene networks including structure discovery, learning, and optimization. This innovative Handbook of Research presents a complete overview of computational intelligence approaches for learning and optimization and how they can be used in gene regulatory networks
Summary: The analysis of gene regulatory networks (GRNs) is a central goal of bioinformatics highly ...
The analysis of gene regulatory networks (GRNs) is a central goal of bioinformatics highly accelerat...
Developmental genetic regulatory networks (GRNs) have unique architectural characteristics. They are...
Description: Recent advances in gene sequencing technology are now shedding light on the complex int...
This volume explores recent techniques for the computational inference of gene regulatory networks (...
Huge advancement in the field of bioinformatics has unleashed torrential of biological data that wer...
Molecular biology focuses on genes and their interactions at the transcription, regulation and prote...
Summary: The analysis of gene regulatory networks (GRNs) is a central goal of bioinformatics highly ...
Summary: The analysis of gene regulatory networks (GRNs) is a central goal of bioinformatics highly ...
In biology, regulatory networks are sets of macromolecules, mostly proteins and RNAs that interact t...
This chapter presents modelling gene regulatory networks (GRNs) using probabilistic causal model and...
Motivation: New developments in post-genomic technology now provide researchers with the data necess...
Abstract Regulatory networks are at the core of all biological functions from bio-chemical pathways ...
International audienceRegulatory networks are at the core of all biological functions from bio-chemi...
AbstractGene Regulatory Networks (GRNs) represent the interactions among genes regulating the activa...
Summary: The analysis of gene regulatory networks (GRNs) is a central goal of bioinformatics highly ...
The analysis of gene regulatory networks (GRNs) is a central goal of bioinformatics highly accelerat...
Developmental genetic regulatory networks (GRNs) have unique architectural characteristics. They are...
Description: Recent advances in gene sequencing technology are now shedding light on the complex int...
This volume explores recent techniques for the computational inference of gene regulatory networks (...
Huge advancement in the field of bioinformatics has unleashed torrential of biological data that wer...
Molecular biology focuses on genes and their interactions at the transcription, regulation and prote...
Summary: The analysis of gene regulatory networks (GRNs) is a central goal of bioinformatics highly ...
Summary: The analysis of gene regulatory networks (GRNs) is a central goal of bioinformatics highly ...
In biology, regulatory networks are sets of macromolecules, mostly proteins and RNAs that interact t...
This chapter presents modelling gene regulatory networks (GRNs) using probabilistic causal model and...
Motivation: New developments in post-genomic technology now provide researchers with the data necess...
Abstract Regulatory networks are at the core of all biological functions from bio-chemical pathways ...
International audienceRegulatory networks are at the core of all biological functions from bio-chemi...
AbstractGene Regulatory Networks (GRNs) represent the interactions among genes regulating the activa...
Summary: The analysis of gene regulatory networks (GRNs) is a central goal of bioinformatics highly ...
The analysis of gene regulatory networks (GRNs) is a central goal of bioinformatics highly accelerat...
Developmental genetic regulatory networks (GRNs) have unique architectural characteristics. They are...