Techniques in molecular biology have permitted the gathering of an extremely large amount
of information relating organisms and their genes. The current challenge is assigning a …

DNA microarray is a powerful technology that can simultaneously determine the levels of
thousands of transcripts (generated, for example, from genes/miRNAs) across different …

Abstract Data generated from Sensors, IoT environment and many real time applications is
mainly spatial, temporal, or spatio-temporal. Some of them include data generated from …

Gene expression time-course experiments allow to study the dynamics of transcriptomic
changes in cells exposed to different stimuli. However, most approaches for the …

Background A common approach for time series gene expression data analysis includes the
clustering of genes with similar expression patterns throughout time. Clustered gene …

The existence of various types of correlations among the expressions of a group of
biologically significant genes poses challenges in developing effective methods of gene …

Testis development is a vital and tightly regulated process in mammals. Understanding the
biological mechanisms underlying testis development will benefit the animal reproduction …

Gene co-expression networks (GCNs) are graphic representations that depict the
coordinated transcription of genes in response to certain stimuli. GCNs provide functional …

MicroRNAs (miRNAs) are a class of short non-coding RNAs, which show tissue-specific
regulatory activity on genes. Expression profiling of miRNAs is an important step for …

Association rule mining is an important technique for identifying interesting relationships
between gene pairs in a biological data set. Earlier methods basically work for a single …