Recent technological advancements have enabled the profiling of a large number of
genome-wide features in individual cells. However, single-cell data present unique …

The benefit of integrating batches of genomic data to increase statistical power is often
hindered by batch effects, or unwanted variation in data caused by differences in technical …

Background Principal component analysis (PCA) is frequently used in genomics
applications for quality assessment and exploratory analysis in high-dimensional data, such …

Maternal immune activation (MIA) disrupts the central innate immune system during a critical
neurodevelopmental period. Microglia are primary innate immune cells in the brain although …

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

Systematic technical variation in high-throughput studies consisting of the serial
measurement of large sample cohorts is known as batch effects. Batch effects reduce the …

Objectives Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease
that is difficult to treat. There is currently no optimal stratification of patients with SLE, and …

The diversity and huge omics data take biology and biomedicine research and application
into a big data era, just like that popular in human society a decade ago. They are opening a …

Current functional assessment of biomaterial‐induced stem cell lineage fate in vitro mainly
relies on biomarker‐dependent methods with limited accuracy and efficiency. Here a …

Sexual activity and/or reproduction are associated with a doubling of life expectancy in the
long-lived rodent genus Fukomys. To investigate the molecular mechanisms underlying this …