TRADE – ranscriptome-wide analysis of differential expression
CRISPR technology has made it possible to systematically explore the effects of turning genes on…
Browsing: Statistical Analysis
Deep dive into plant signalling data reveals a noisy “elephant in the room”
A far-reaching study has cast doubt on statistical methods used to identify long distance signalling…
CoupleVAE – coupled variational autoencoders for predicting perturbational single-cell RNA sequencing data
As single-cell RNA sequencing becomes more advanced, scientists are now able to analyze the genetic…
A realistic FastQ-based framework – FastQDesign for scRNA-seq study design issues
Single-cell RNA sequencing (scRNA-seq) has revolutionized the way scientists study gene expression at the individual…
VeloVGI – accurate RNA velocity estimation based on multibatch network reveals complex lineage in batch scRNA-seq data
When scientists want to understand how cells grow, change, and develop, they often turn to…
CellTran – a statistical approach for systematic identification of transition cells from scRNA-seq data
In multicellular organisms, cells go through complex transitions, changing from one type to another or…
Deciphering gene expression patterns using large-scale transcriptomic data
Gene expression, the process by which genes are activated to produce proteins, is a cornerstone…
ZINBStein – shrinkage estimation of gene interaction networks in single-cell RNA sequencing data
Understanding how genes interact with one another is crucial for unraveling the complexities of biological…
Statistical method reveals new insights into single-cell RNA sequencing
A new statistical technique developed by a researcher at the Texas A&M University School of…
RNA-seq validation – software for selection of reference and variable candidate genes for RT-qPCR
Introduction to RT-qPCR Real-time quantitative PCR (RT-qPCR) is a powerful tool used by scientists to…