
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…
Imagine you have a complex dataset with lots of dimensions, like a massive library of…
Scientists have long grappled with the challenge of deciphering gene expression profiles at the single-cell…
Recent developments in single-cell RNA sequencing have opened up a multitude of possibilities to study…
Where the complexity of biological data meets the challenges of noise and high dimensionality, researchers…
Understanding how genes behave over time is crucial for unlocking the secrets of development, disease…
In personalized oncology, gene expression profiling has become increasingly vital for tailoring treatment strategies to…
In the world of biology, understanding the intricacies of diseases and cellular diversity has always…
The advent of single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular heterogeneity and…
With the growing number of single-cell datasets collected under more complex experimental conditions, there is…
Genetic and gene expression heterogeneity is an essential hallmark of many tumors, allowing the cancer…