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 …

Over the last decade, gene set analysis has become the first choice for gaining insights into
underlying complex biology of diseases through gene expression and gene association …

Genes central to drug absorption, distribution, metabolism and elimination (ADME) also
regulate numerous endogenous molecules. The Remote Sensing and Signaling Hypothesis …

Background Seed weight is a complex yield-related trait with a lot of quantitative trait loci
(QTL) reported through linkage mapping studies. Integration of QTL from linkage mapping …

Soybean (Glycine max [L.] Merr.) is one of the most significant crops in the world in terms of
oil and protein. Owing to the rising demand for soybean products, there is an increasing …

Aims Anti-angiotherapy (Bevacizumab) is currently regarded as a promising option for
glioma patients who are resistant to temozolomide (TMZ) treatment. But ongoing clinical …

Gene co-expression analysis is a data analysis technique that helps identify groups of
genes with similar expression patterns across several different conditions. By means of …

Early detection of lung cancer is a crucial factor for increasing its survival rates among the
detected patients. The presence of carbonyl volatile organic compounds (VOCs) in exhaled …

In recent years, the successful implementation of human genome project has made people
realize that genetic, environmental and lifestyle factors should be combined together to …

Abstract Background: The incidence of Oral Cancer (OC) is high in Asian countries, which
goes undetected at its early stage. The study of genetics, especially genetic networks holds …