Nayan Howladar - Academia.edu (original) (raw)
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Papers by Nayan Howladar
Gene regulatory networks (GRNs) play an important function in a variety of cellular processes and... more Gene regulatory networks (GRNs) play an important function in a variety of cellular processes and pathways. Recent advancements in high-throughput biological data gathering have provided fresh platforms for studying GRNs, generating significant interest in the mathematical modeling of biological networks. An effective GRN inference algorithm can find proper regulatory connections among genes, greatly facilitating discovering the basics of how a cell functions and functions, allowing for a unique and improved understanding of disease initiation and progression. However, the involvement of protein level interactions can refine and validate some of the interactions that are inferred from gene-gene interactions, and hence we call our focus a gene-protein regulatory network (GPRN). Consequently, this paper proposes a method to select genes that produce proteins that bind to DNA (deoxyribonucleic acid), RNA (ribonucleic acid), or other proteins and carbohydrate. The selected genes are use...
Gene regulatory networks (GRNs) play an important function in a variety of cellular processes and... more Gene regulatory networks (GRNs) play an important function in a variety of cellular processes and pathways. Recent advancements in high-throughput biological data gathering have provided fresh platforms for studying GRNs, generating significant interest in the mathematical modeling of biological networks. An effective GRN inference algorithm can find proper regulatory connections among genes, greatly facilitating discovering the basics of how a cell functions and functions, allowing for a unique and improved understanding of disease initiation and progression. However, the involvement of protein level interactions can refine and validate some of the interactions that are inferred from gene-gene interactions, and hence we call our focus a gene-protein regulatory network (GPRN). Consequently, this paper proposes a method to select genes that produce proteins that bind to DNA (deoxyribonucleic acid), RNA (ribonucleic acid), or other proteins and carbohydrate. The selected genes are use...