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…
Browsing: Statistical Analysis
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…
PARE – a framework for removal of confounding effects from any distance-based dimension reduction method
Imagine you have a complex dataset with lots of dimensions, like a massive library of…
scBFP – single-cell RNA sequencing data imputation using bi-level feature propagation
Scientists have long grappled with the challenge of deciphering gene expression profiles at the single-cell…