METHODS USED FOR IDENTIFICATION OF DIFFERENTIALLY EXPRESSING GENES (DEGS) FROM MICROARRAY GENE DATASET: A REVIEW

Chanda Panse, Manali Kshirsagar, Dhananjay Raje3, Dipak Wajgi
2020 Zenodo  
Genes contain blue print of living organism. Malfunctioning occurred in cellular life is indicated by proteins which are responsible for behavior of genes. Fixed set of genes decides behavior and functioning of cells. They guide the cells what to do and when to do. To analyze the insight of biological activities, analysis of gene expressions is necessary. Advanced technology like microarray plays an important role in gene analysis as it captures expressions of thousands of genes under different
more » ... conditions simultaneously. Out of thousands of genes, very few behave differently which are called as Differentially Expressing Genes (DEGs). Identifying these most significant genes is a crucial task in molecular biology and is a major area of research for bioinformaticians because DEGs are the major source of disease prediction. They help in planning therapeutic strategies for a disease through Gene Regulatory Network (GRN) constructed from them. GRN is a graphical representation containing genes as nodes and regulatory interactions among them as edges. GRN helps to know change over occurred among genes which involved in cause of genetic diseases as well as to analyze their response to different stress conditions through microarray expressions. In this paper we have discussed many methods proposed by researchers for identifying differentially expressing genes based upon changes in their expressions patterns.
doi:10.5281/zenodo.4275146 fatcat:rik66npjmfegpfqmwuhwmdwqv4