Swathypriyadharsini P^1,∗, K.Premalatha^2,†

Computer Systems Science and Engineering, Vol.35, No.1, pp. 39-50, 2020, DOI:10.32604/csse.2020.35.039

Abstract Microarrays have reformed biotechnological research in the past decade. Deciphering the hidden patterns in gene expression data proffers a prodigious preference to strengthen the understanding of functional genomics. The complexity of biological networks with larger volume of genes also increases the challenges of comprehending and interpretation of the resulting mass of data. Clustering addresses these challenges, which is essential in the data mining process to reveal natural structures and identify interesting patterns in the underlying data. The clustering of gene expression data has been proven to be useful in making known the natural structure inherent in gene expression data, understanding… More >

LOKMAN VARISLI

BIOCELL, Vol.37, No.1, pp. 11-16, 2013, DOI:10.32604/biocell.2013.37.011

Abstract The cell cycle is a conserved process from yeast to mammals and focuses on mechanisms that regulate the timing and frequency of DNA replication and cell division. The temporal and spatial expression of the genes is tightly regulated to ensure accurate replication and transmission of DNA to daughter cells during the cycle. Although the genes involved in interphase are well studied, most of the genes which are involved in mitotic events still remain unidentified. Since, the discovery of mitosis related genes is still incomplete, we performed a co-expression and gene ontology analysis for revealing novel mitosis regulated genes. In this… More >