Introduction Profiling the spatial-temporal expression pattern and characterizing the
regulatory networks of brain tissues are vital for understanding the pathophysiology of …

Background: There is growing concern that phthalate exposures may have an impact on
child neurodevelopment. Prenatal exposure to phthalates has been linked with externalizing …

Molecular modeling frequently constructs classification models for the prediction of two‐
class entities, such as compound bio (in) activity, chemical property (non) existence, protein …

Background Combining genomic data sets from multiple studies is advantageous to
increase statistical power in studies where logistical considerations restrict sample size or …

Abstract The Gene Expression Omnibus (GEO) database is an excellent public source of
whole transcriptomic profiles of multiple cancers. The main challenge is the limited …

Batch effects are technical sources of variation introduced by the necessity of conducting
gene expression analyses on different dates due to the large number of biological samples …

Background Methylation measures quantified by microarray techniques can be affected by
systematic variation due to the technical processing of samples, which may compromise the …

Hepatocyte-like cells (HLCs) can be derived from pluripotent stem cells (PSCs) by
sequential treatment of chemical cues to mimic the microenvironment of embryonic liver …

It is a basic task in high-throughput gene expression profiling studies to identify differentially
expressed genes (DEGs) between two phenotypes. But the weakly differential expression …

Motivation Batch effects are one of the major source of technical variations that affect the
measurements in high-throughput studies such as RNA sequencing. It has been well …