Survey on Modelling Methods Applicable to Gene Regulatory Network

2013/10/09 by Chanda Panse, Panse, Chanda, Manali Kshirsagar +2
Biochemistry, Genetics and Molecular Biology · Computer Science · #Computational Engineering #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Finance #Gene Regulatory Network Analysis #Gene expression and cancer classification #and Science (cs.CE) #cs.CE

paper · pdf · doi:10.48550/arxiv.1310.2361

arxiv created 2013/10/09 · openalex publication_date 2013/10/09 · arxiv updated 2013/10/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Gene Regulatory Network (GRN) plays an important role in knowing insight of cellular life cycle. It gives information about at which different environmental conditions genes of particular interest get over expressed or under expressed. Modelling of GRN is nothing but finding interactive relationships between genes. Interaction can be positive or negative. For inference of GRN, time series data provided by Microarray technology is used. Key factors to be considered while constructing GRN are scalability, robustness, reliability and maximum detection of true positive interactions between genes. This paper gives detailed technical review of existing methods applied for building of GRN along with scope for future work.

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