EurekAlert!

Revolutionary 'scLENS' unveiled to decode complex single-cell genomic data

(Left) Current dimensionality reduction methods for scRNA-seq data involve conventional data preprocessing steps, such as log normalization, followed by manual selection of signals from the scaled ...
EurekAlert!

Figure 1. Overview of scLENS (single-cell Low-dimensional embedding using the effective Noise Subtract) (IMAGE)

(Left) Current dimensionality reduction methods for scRNA-seq data involve conventional data preprocessing steps, such as log normalization, followed by manual selection of signals from the scaled ...
Medical Xpress

Scientists create an scRNA-seq atlas of the multiple myeloma immune microenvironment across disease stages

Multiple myeloma (MM) is an incurable blood cancer, leading to weakened immunity, bone damage, and other serious health issues. The high relapse rates following initial treatments make the search for ...
HealthTech

Perturb-Seq in Practice: Dissecting Gene Function with CRISPR + scRNA-Seq

In modern functional genomics, understanding how specific genes control cellular behavior requires both targeted intervention and high-resolution analysis. That’s where Perturb-Seq comes in—a method ...