Gene regulatory network (GRN) reconstruction from high-throughput microarray data is an important problem in systems biology. The S-System model, a differential equation based approach, is among the mainstream approaches for modeling GRN
Inferring gene regulatory networks (GRN) from microarray gene expression data is a highly challengin...
Microarray gene expression data can provide insights into biological processes at a system-wide leve...
Summary: The analysis of gene regulatory networks (GRNs) is a central goal of bioinformatics highly ...
Gene regulatory network (GRN) consists of a set of genes and regulatory relationships between the ge...
Abstract — In this paper, a unified approach to infer gene regulatory networks using the S-system mo...
A Gene Regulatory Network (GRN) is the functional circuitry of a living organism that exhibits the r...
Gene Regulatory Network (GRN) is an abstract mapping of gene regulations in living cells that can he...
The advent of microarray technology and the availability of high-throughput timeseries gene expressi...
Reverse Engineering Gene Regulatory Networks (GRNs) is an important and challenging problem of Syste...
Gene Regulatory Network (GRN) modelling infers genetic interactions between different genes and othe...
Gene regulatory networks (GRNs) consist of thousands of genes and proteins which are dynamically int...
Reconstruction of gene regulatory networks (GRNs) is of utmost interest and has become a challenge c...
Reconstruction of gene regulatory networks (GRNs) is of utmost interest and has become a challenge c...
Microarray gene expression data can provide insights into biological processes at a system-wide leve...
Gene Regulatory Network (GRN) plays an important role in knowing insight of cellular life cycle. It ...
Inferring gene regulatory networks (GRN) from microarray gene expression data is a highly challengin...
Microarray gene expression data can provide insights into biological processes at a system-wide leve...
Summary: The analysis of gene regulatory networks (GRNs) is a central goal of bioinformatics highly ...
Gene regulatory network (GRN) consists of a set of genes and regulatory relationships between the ge...
Abstract — In this paper, a unified approach to infer gene regulatory networks using the S-system mo...
A Gene Regulatory Network (GRN) is the functional circuitry of a living organism that exhibits the r...
Gene Regulatory Network (GRN) is an abstract mapping of gene regulations in living cells that can he...
The advent of microarray technology and the availability of high-throughput timeseries gene expressi...
Reverse Engineering Gene Regulatory Networks (GRNs) is an important and challenging problem of Syste...
Gene Regulatory Network (GRN) modelling infers genetic interactions between different genes and othe...
Gene regulatory networks (GRNs) consist of thousands of genes and proteins which are dynamically int...
Reconstruction of gene regulatory networks (GRNs) is of utmost interest and has become a challenge c...
Reconstruction of gene regulatory networks (GRNs) is of utmost interest and has become a challenge c...
Microarray gene expression data can provide insights into biological processes at a system-wide leve...
Gene Regulatory Network (GRN) plays an important role in knowing insight of cellular life cycle. It ...
Inferring gene regulatory networks (GRN) from microarray gene expression data is a highly challengin...
Microarray gene expression data can provide insights into biological processes at a system-wide leve...
Summary: The analysis of gene regulatory networks (GRNs) is a central goal of bioinformatics highly ...
DOI
Add to ORKG