Analysis of gene expression data is widely used in transcriptomic studies to understand
functions of molecules inside a cell and interactions among molecules. Differential co …

Understanding the role of genes in human disease is of high importance. However,
identifying genes associated with human diseases requires laborious experiments that …

Development of high-throughput technologies in molecular biology during the last two
decades has contributed to the production of tremendous amounts of data. Microarray and …

Objectives: Analysis of multi-molecular interactions and detection of combinatorial
transcriptomic signatures are emerging as important research topics in disease analytics …

Detecting cancer-related genes and their interactions is a crucial task in cancer research.
For this purpose, we proposed an efficient method, to detect coding genes, microRNAs …

Nowadays, cervical cancer is a leading cause of death among women. Determining the
gene signature is one of the major issues in bioinformatics. Though many of the …

Transcription factors (TFs) and microRNAs (miRNAs) are two important classes of gene
regulators that govern many critical biological processes. Dysregulation of TF-gene and …

MicroRNAs (miRNAs) are small noncoding transcripts that can regulate gene expression,
thereby controlling diverse biological processes. Aberrant disruptions of miRNA expression …